Relevant bibliographies by topics / Radar navigation

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Radar navigation'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Radar navigation"

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Gooley, Tristan. "Nature's Radar." Journal of Navigation 66, no. 2 (October 31, 2012): 161–79. http://dx.doi.org/10.1017/s0373463312000495.

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The author uses a personal account of a short-handed small boat voyage, from the Orkney Islands into the Arctic Circle, to determine whether nature can help a navigator estimate their distance from land. As part of this exercise the author reinforces his argument (Gooley, 2010) that natural navigation clues add not only to safety and general awareness, but offer the navigator a richer experience than relying solely on electronic navigation. The main aim of this expedition and paper is to establish whether some of the traditional methods of navigation, used by Pacific Island and Viking navigators, can be of any value to the modern navigator. Recorded sightings of birds, cetaceans, fish, jellyfish, water behaviour and colour are used to support the author's findings. The paper also contains the author's reflections on the experience of undertaking a voyage of this kind and leads to one surprising conclusion.
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Ward, N. "The Future of Radar Beacons." Journal of Navigation 50, no. 2 (May 1997): 242–47. http://dx.doi.org/10.1017/s0373463300023845.

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The principles of radar beacons (racons) are described and their significance for navigation discussed. Developments in radars which may affect the operation of racons are considered and ways of meeting the requirement to locate and identify aids to navigation on a radar display are considered. The developments in non-radar band transponders are reviewed to determine whether they might present an alternative to racons in the future.
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Czaplewski, Krzysztof, and Sławomir Świerczyński. "A Method of Increasing the Accuracy of Radar Distance Measurement in VTS Systems for Vessels with Very Large Dimensions." Remote Sensing 13, no. 16 (August 4, 2021): 3066. http://dx.doi.org/10.3390/rs13163066.

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The navigation information about a vessel’s position in the waters covered by the vessel traffic system operation is obtained through supervisory services, mainly from coastal navigation radars. Although today it is possible to simultaneously acquire data from many independent radars, the obtained radar image is inconsistent and consists of several echoes next to each other. This makes it difficult to establish which echo represents the monitored unit. Another problem is the method of determining radar distances, which significantly affect the quality of determining the observation position. Errors in radar distance may occur when determining the radar echoes from large vessels, where the position of the unit is not the same as the edge of the radar echo to which the observation is made. In this article, the authors present a method of improving the measured radar distance. The presented proposal was verified in navigation and maneuvering simulation conditions. It could support the process of determining the ship position in vessel traffic service (VTS) systems with increased accuracy.
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Scannapieco, A. F., A. Renga, G. Fasano, and A. Moccia. "ULTRALIGHT RADAR FOR SMALL AND MICRO-UAV NAVIGATION." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W6 (August 24, 2017): 333–38. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w6-333-2017.

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This paper presents a radar approach to navigation of small and micro Unmanned Aerial Vehicles (UAV) in environments challenging for common sensors. A technique based on radar odometry is briefly explained and schemes for complete integration with other sensors are proposed. The focus of the paper is set on ultralight radars and interpretation of outputs of such sensor when dealing with autonomous navigation in complex scenario. The experimental setup used to analyse the proposed approach comprises one multi-rotor UAV and one ultralight commercial radar. Results from flight tests in which both forward-only motion and mixed motion are presented and analysed, providing a reference for understanding outputs of radar in complex scenarios. The radar odometry solution is compared with ground truth provided by GPS sensor.
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Berking, Bernhard, and Joachim Pfeiffer. "Stabilizing the Radar Picture and ARPA Data." Journal of Navigation 48, no. 1 (January 1995): 29–52. http://dx.doi.org/10.1017/s0373463300012479.

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Radar and ARPA are used both for anti-collision purposes and for navigational purposes. The requirements for ‘ground-stabilization for navigation’ and ‘sea-stabilization for collision-avoidance’ seem to exclude each other. Since the development of True Motion radar (TM), there is the need for an input of Own Ship's velocity. Since then, the mode of velocity input and, consequently, the mode of stabilization have been the subject of controversy. The problem became even more important by the introduction of ARPA, by the use of video map overlays and by the introduction of complex integrated navigation systems including radar.
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Deng, Shu Zhang. "Research on DSP Embedded Digital Signal Processing System for Ship Navigation Radar." Applied Mechanics and Materials 556-562 (May 2014): 4718–21. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.4718.

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Development of digital signal processing and embedded technologies today, to the development of radar technology has brought new opportunities. Relative to the simulation of radar, digital radar has good performance, features, ease of operation, and other benefits. Design based on embedded processor and digital signal processor (DSP) dual processor shipboard navigation radar system, and focuses on digital shipborne navigational radar system architecture, hardware design and software algorithms for digital signal processing module, gives the overall scheme for DSP systems.
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Austin, G. L., A. Bellon, M. Riley, and E. Ballantyne. "Navigation by Computer Processing of Marine Radar Images." Journal of Navigation 38, no. 3 (September 1985): 375–83. http://dx.doi.org/10.1017/s0373463300032744.

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The advantages of being able to process marine radar imagery in an on-line computer system have been illustrated by study of some navigational problems. The experiments suggest that accuracies of the order of 100 metres may be obtained in navigation in coastal regions using map overlays with marine radar data. A similar technique using different radar imagery of the same location suggests that the pattern-recognition technique may well yield a position-keeping ability of better than 10 metres.
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Xu, Jin, Baozhu Jia, Xinxiang Pan, Ronghui Li, Liang Cao, Can Cui, Haixia Wang, and Bo Li. "Hydrographic data inspection and disaster monitoring using shipborne radar small range images with electronic navigation chart." PeerJ Computer Science 6 (September 14, 2020): e290. http://dx.doi.org/10.7717/peerj-cs.290.

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Shipborne radars cannot only enable navigation and collision avoidance but also play an important role in the fields of hydrographic data inspection and disaster monitoring. In this paper, target extraction methods for oil films, ships and coastlines from original shipborne radar images are proposed. First, the shipborne radar video images are acquired by a signal acquisition card. Second, based on remote sensing image processing technology, the radar images are preprocessed, and the contours of the targets are extracted. Then, the targets identified in the radar images are integrated into an electronic navigation chart (ENC) by a geographic information system. The experiments show that the proposed target segmentation methods of shipborne radar images are effective. Using the geometric feature information of the targets identified in the shipborne radar images, information matching between radar images and ENC can be realized for hydrographic data inspection and disaster monitoring.
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Labowski, Michal, Piotr Kaniewski, and Piotr Serafin. "Motion Compensation for Radar Terrain Imaging Based on INS/GPS System." Sensors 19, no. 18 (September 10, 2019): 3895. http://dx.doi.org/10.3390/s19183895.

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In order to obtain good quality radar terrain images using an aerial-based synthetic aperture radar, a motion compensation procedure must be applied. This procedure can use a precise navigation system in order to determine the aircraft’s position and velocity. A major challenge is to design a motion compensation procedure that can operate in real time, which is crucial to ensure convenient data for a human analyst. The article discusses a possibility of Inertial Measurement System (INS)/Global Positioning System (GPS) navigation system usage in such a radar imaging system. A Kalman filter algorithm designed for this system is described herein, and its modifications introduced by the authors allow the use of navigational data not aligned in time and captured with different frequencies. The presented navigation system was tested using measured data. Radar images obtained with the INS/GPS-based motion compensation system were compared to the INS-only results and images obtained without navigation corrections. The evaluation results presented in the paper show that the INS/GPS system allows for better reduction of geometric distortions in images compared to the INS-based approach, which makes it more suitable for typical applications.
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Czaplewski, Krzysztof, and Mariusz Wąż. "Improvement in Accuracy of Determining a Vessel’s Position with the Use of Neural Networks Ana Robust M-Estimation." Polish Maritime Research 24, no. 1 (March 1, 2017): 22–31. http://dx.doi.org/10.1515/pomr-2017-0003.

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Abstract In the 21st century marine navigation has become dominated by satellite positioning systems and automated navigational processes. Today, global navigation satellite systems (GNSS) play a central role in the process of carrying out basic navigational tasks, e.g. determining the coordinates of a vessel’s position at sea. Since satellite systems are being used increasingly more often in everyday life, the signals they send are becoming more and more prone to jamming. Therefore there is a need to search for other positioning systems and methods that would be as accurate and fast as the existing satellite systems. On the other hand, the automation process makes it possible to conduct navigational tasks more quickly. Due to the development of this technology, all kinds of navigation equipment can be used in the process of automating navigation. This also applies to marine radars, which are characterised by a relatively high accuracy that allows them to replace satellite systems in performing classic navigational tasks. By employing M-estimation methods that are used in geodesy as well as simple neural networks, a software package can be created that will aid in automating navigation and will provide highly accurate information about a given object’s position at sea by making use of radar in comparative navigation. This paper presents proposals for automating the process of determining a vessel’s position at sea by using comparative navigation methods that are based on simple neural networks and geodetic M-estimation methods.
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Dissertations / Theses on the topic "Radar navigation"

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Quist, Eric Blaine. "UAV Navigation and Radar Odometry." BYU ScholarsArchive, 2015. https://scholarsarchive.byu.edu/etd/4439.

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Prior to the wide deployment of robotic systems, they must be able to navigate autonomously. These systems cannot rely on good weather or daytime navigation and they must also be able to navigate in unknown environments. All of this must take place without human interaction. A majority of modern autonomous systems rely on GPS for position estimation. While GPS solutions are readily available, GPS is often lost and may even be jammed. To this end, a significant amount of research has focused on GPS-denied navigation. Many GPS-denied solutions rely on known environmental features for navigation. Others use vision sensors, which often perform poorly at high altitudes and are limited in poor weather. In contrast, radar systems accurately measure range at high and low altitudes. Additionally, these systems remain unaffected by inclimate weather. This dissertation develops the use of radar odometry for GPS-denied navigation. Using the range progression of unknown environmental features, the aircraft's motion is estimated. Results are presented for both simulated and real radar data. In Chapter 2 a greedy radar odometry algorithm is presented. It uses the Hough transform to identify the range progression of ground point-scatterers. A global nearest neighbor approach is implemented to perform data association. Assuming a piece-wise constant heading assumption, as the aircraft passes pairs of scatterers, the location of the scatterers are triangulated, and the motion of the aircraft is estimated. Real flight data is used to validate the approach. Simulated flight data explores the robustness of the approach when the heading assumption is violated. Chapter 3 explores a more robust radar odometry technique, where the relatively constant heading assumption is removed. This chapter uses the recursive-random sample consensus (R-RANSAC) Algorithm to identify, associate, and track the point scatterers. Using the measured ranges to the tracked scatterers, an extended Kalman filter (EKF) iteratively estimates the aircraft's position in addition to the relative locations of each reflector. Real flight data is used to validate the accuracy of this approach. Chapter 4 performs observability analysis of a range-only sensor. An observable, radar odometry approach is proposed. It improves the previous approaches by adding a more robust R-RANSAC above ground level (AGL) tracking algorithm to further improve the navigational accuracy. Real flight results are presented, comparing this approach to the techniques presented in previous chapters.
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Brooker, Graham Michael. "Long-Range Imaging Radar for Autonomous Navigation." University of Sydney. Aerospace, Mechanical and Mechatronic Engineering, 2005. http://hdl.handle.net/2123/658.

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This thesis describes the theoretical and practical implementation of a long-range high-resolution millimetre wave imaging radar system to aid with the navigation and guidance of both airborne and ground-based autonomous vehicles. To achieve true autonomy, a vehicle must be able to sense its environment, comprehensively, over a broad range of scales. Objects in the immediate vicinity of the vehicle must be classified at high resolution to ensure that the vehicle can traverse the terrain. At slightly longer ranges, individual features such as trees and low branches must be resolved to allow for short-range path planning. At long range, general terrain characteristics must be known so that the vehicle can plan around difficult or impassable obstructions. Finally, at the largest scale, the vehicle must be aware of the direction to its objective. In the past, short-range sensors based on radar and laser technology have been capable of producing high-resolution maps in the immediate vicinity of the vehicle extending out to a few hundred metres at most. For path planning, and navigation applications where a vehicle must traverse many kilometres of unstructured terrain, a sensor capable of imaging out to at least 3km is required to permit mid and long-range motion planning. This thesis addresses this need by describing the development a high-resolution interrupted frequency modulated continuous wave (FMICW) radar operating at 94GHz. The contributions of this thesis include a comprehensive analysis of both FMCW and FMICW processes leading to an effective implementation of a radar prototype which is capable of producing high-resolution reflectivity images of the ground at low grazing angles. A number of techniques are described that use these images and some a priori knowledge of the area, for both feature and image based navigation. It is shown that sub-pixel registration accuracies can be achieved to achieve navigation accuracies from a single image that are superior to those available from GPS. For a ground vehicle to traverse unknown terrain effectively, it must select an appropriate path from as long a range as possible. This thesis describes a technique to use the reflectivity maps generated by the radar to plan a path up to 3km long over rough terrain. It makes the assumption that any change in the reflectivity characteristics of the terrain being traversed should be avoided if possible, and so, uses a modified form of the gradient-descent algorithm to plan a path to achieve this. The millimetre wave radar described here will improve the performance of autonomous vehicles by extending the range of their high-resolution sensing capability by an order of magnitude to 3km. This will in turn enable significantly enhanced capability and wider future application for these systems.
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Blomqvist, Anneli. "Millimeter Wave Radar as Navigation Sensor on Robotic Vacuum Cleaner." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-288146.

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Does millimeter-wave radar have the potential to be the navigational instrument of a robotic vacuum cleaner in a home? Electrolux robotic vacuum cleaner is currently using a light sensor to navigate through the home while cleaning. Recently Texas Instruments released a new mmWave radar sensor, operating in the frequency range 60-64 GHz. This study aims to answer if the mmWave radar sensor is useful for indoor navigation. The study tests the sensor on accuracy and resolution of angles and distances in ranges relevant to indoor navigation. It tests if various objects made out of plastic, fabric, paper, metal, and wood are detectable by the sensor. At last, it tests what the sensor can see when it is moving while measuring. The radar sensor can localize the robot, but the ability to detect objects around the robot is limited. The sensor’s absolute accuracy is within 3° for the majority of angles and around 1dm for most distances above 0.5 m. The resolution for a displacement of one object is 1°, respectively 5 cm, and two objects must be located at least 14° or 15 cm apart from each other to be recognized. Future tasks include removing noise due to antenna coupling to improve reflections from within 0.5 meter and figure out the best way to move around the sensor to improve the resolution.
Har radar med millimetervågor förutsättningar att vara navigationsutrustning för en robotdammsugare i ett hem? Electrolux robotdammsugare använder för närvarande en ljussensor för att navigera genom hemmet medan den städar. Nyligen släppte Texas Instruments en ny radarsensor med vågor i frekvensområdet 60-64 GHz. Denna studie syftar till att svara om radarsensorn är användbar för inomhusnavigering. Studien testar sensorn med avseende på noggrannhet och upplösning av vinklar och avstånd i områden som är relevanta för inomhusnavigering. Den testar om olika föremål tillverkade av plast, tyg, papper, metall och trä kan detekteras av sensorn. Slutligen testas vad sensorn kan se om den rör sig medan den mäter. Radarsensorn kan positionera roboten, men hinderdetektering omkring roboten är begränsad. För det mesta ligger sensorns absoluta noggrannhet inom 3° för vinklar och omkring 1dm för avstånd över 0,5 m. Upplösningen för en förflyttning av ett objekt är 1° respektive 5 cm, och två objekt måste placeras minst 14° eller 15 cm ifrån varandra för att båda kunna upptäckas. Kommande utmaningar är att ta bort antennstörningar som ger sämre reflektioner inom 0,5 meter och ta reda på det bästa sättet att förflytta sensorn för att förbättra upplösningen.
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Douvenot, Rémi. "Estimation des variations de l'indice de réfraction par inversion des échos radars de mer : application à la prédiction de la couverture des systèmes électromagnétiques embarqués sur navire." Nantes, 2008. http://www.theses.fr/2008NANT2077.

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Dans le cadre de la prédiction de la couverture des systèmes radars en milieu côtier ou embarqués sur navire, la connaissance de l'indice de réfraction est un élément essentiel pour nourrir les systèmes de modélisation de la propagation des ondes électromagnétiques. Le but de cette thèse est de retrouver le profil vertical d'indice de réfraction en basse troposphère en milieu marin à partir de la seule connaissance du fouillis de mer reçu par le radar. On appelle cette méthode "Refractivity From Clutter" (RFC). Une telle méthodologie inclut un problème inverse : retrouver l'indice de réfraction depuis le fouillis de mer. Ce travail de thèse explore la faisabilité d'un système RFC au fonctionnement temps réel en conditions opérationnelles, par l'utilisation de méthodes inverses reposant sur des bases de données pré-générées et prétraitées. Les algorithmes testés et validés sur des données idéales sont les algorithmes d'apprentissage Least Squares Support Vector Machine (LS-SVM) et Multitask LS-SVM (MLS-SVM), et une Méthode d'Interpolation d'ordre 0 (MI0). Des systèmes RFC basés sur les méthodes MuLS-SVM et MI0 sont tout d'abord retenus après une étude sur des mesures de la campagne VAMPIRA en présence de conduits atmosphériques simples. La deuxième étude, portant sur les données de la campagne Wallops '98, montre l'efficacité de la méthode MI0 quand celle-ci est améliorée par des considérations physiques. Cette méthode est validée sur les 23 cartographies radars disponibles, et les profils atmosphériques retrouvés sont proches de ceux mesurés pendant la campagne de mesures. Cette thèse démontre donc la faisabilité d'un système RFC temps réel efficace basé sur la MI0
To predict the coverage of radars shiborne on vessels or in coastal environment, the knowledge of the refractive index is required to feed the electromagnetic waves propagation models. The aim of this PhD work is to retrieve the vertical profile of the refractive index from the knowledge of the sea clutter. This method is called "Refractivity From Clutter" (RFC). Such a problem includes an inverse problem: retrieving the refractive index profile from the sea clutter. This work studies the feasibility of a real-time RFC system during operational conditions, using inverse methods based on pre-generated and pre-processed databases. The learning algorithms Least Squares Support Vector Machine (LS-SVM) and Mutitask LS-SVM (MuLS-SVM), and an Interpolation Method of order 0 (MI0) are tested and validated on ideal noiseless and simulated data. The RFC systems based on MuLS-SVM and MI0 are first selected after a study on measurements from the VAMPIRA campaign, carried out in the presence of simple atmospheric ducts. The second study deals with data from the Wallops '98 campaign in the presence of complex ducts. This study shows the efficiency of the MI0 when it is improved by physical considerations. This method is validated on the 23 available clutter maps, and the retrieved atmospheric profiles are close to the ones measured during the campaign. This PhD work shows the feasibility on an efficient and real-time RFC system based on MI0
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Mackie, James David. "Compact FMCW Radar for GPS-Denied Navigation and Sense and Avoid." BYU ScholarsArchive, 2014. https://scholarsarchive.byu.edu/etd/4388.

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Location information is vital for any type of aircraft and even more crucial for Unmanned Aerial Systems (UAS). GPS is a readily available solution but signals can easily be jammed or lost. In this thesis, radar is explored as a backup system for self-localization when GPS signals are not available. The method proposed requires that an area be pre mapped by collecting radar data with known latitude and longitude coordinates. New radar data is then collected and compared to previously stored values. Channel matrices are stored at each point and are used as the basis for location comparisons. Various methods of matrix comparison are used and both simulation as well as experimental results are shown. The main results of this thesis show that position can be determined using channel matrices if the sensor is within a certain radius of previously stored locations. This radius is on the order of a wavelength or less. Using correlation matrix comparisons the radius of localization is broadened. A novel method using multiple channel and multiple frequency data proves to be successful and determines the position of an octorotor UAS with a mean position error of less than three meters. The design of a low-cost, compact, and light-weight FMCW radar for two applications is also presented. The first application is a novel radar based positioning system that utilizes multiple channel and multiple frequency information to determine position. The second application is a UAS sense and avoid system using a monopulse configuration. Without connectors or antennas, the radar weighs 45.7 grams, is 7.5 cm x 5 cm x 3 cm in size, and costs less than $100 when built in quantities of 100 or more (excludes antennas and connectors). It is tested using delay lines and corner reflectors and accurately determines the distance to close range targets.
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Reid, Zachary A. "Leveraging 3D Models for SAR-based Navigation in GPS-denied Environments." Wright State University / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=wright1540419210051179.

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Chandra, Madhukar. "Wave Propagation and Scattering in Communication, Microwave Systems and Navigation, WFMN09: Wave Propagation and Scattering in Communication,Microwave Systems and Navigation, WFMN09." Universitätsverlag der Technischen Universität Chemnitz, 2011. https://monarch.qucosa.de/id/qucosa%3A19455.

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The ITG section 7.5 "Wellenausbreitung" within the VDE (German Association for Electrical, Electronic & Information Technologies) organised a conference on Wave Propagation in Communication, Microwave Systems and Navigation which was held during 25th - 27th of November 2009 in Chemnitz, Germany. The conference philosophy is to emphasize the commonalty between propagation aspects of microwave remote sensing sensors and microwave systems at large. The following topics of Remote Sensing, Communication and Navigation are eligible for presentation: Microwave Propagation in Communication and Microwave Sensors - Satellite Communications - Multi-Path Propagation - Indoor Propagation - Digital Broadcast Planning - MIMO Systems and Reuse - Ionospheric Propagation - Urban Communication - Microwave Measurements in Propagation Applications of Microwave Sensors - Radar Polarimetry - Bistatic and Multistatic Radar - Polarimetric and Multistatic Interferometry - Multi-Parameter Weather Radar Systems - Automotive and Airborne Radars - System Calibration - Biological Effects of EM-Radiation - Wave Modulation Remote Sensing Radars Antenna Design and Measurements
Im Rahmen der Aktivitäten des ITG-Fachausschusses 7.5 "Wellenausbreitung" im VDE wurde eine Fachtagung auf dem Gebiet Wellenausbreitung bei Funk-, Mikrowellensystemen und Navigation vom 25. - 27. November 2009 in Chemnitz abgehalten. Die Tagungsphilosophie betont den gemeinsamen Nenner der Wellenausbreitung in diversen Bereichen wie Mikrowellensensorik und Mikrowellensystemen. Dem Leitthema zugeordnet, werden die folgenden Themen aus Fernerkundung, Kommunikation und Navigation besonders berücksichtigt. Mikrowellenausbreitung in der Kommunikation und Mikrowellensensorik - Satellitenkommunikation - Mehrwegeausbreitung - Innen-Gebäude-Übertragung - Frequenzplanung für den digitalen Rundfunk - MIMO Systeme - Wellenausbreitung in der Ionosphäre - urbane Kommunikation - Mikrowellenmessungen der Wellenausbreitung Nutzung und Anwendung in der Mikrowellensensorik - Radar-Polarimetrie - Bistatische und Multistatische Radarverfahren - Polarimetrische und Multistatische Interferometrie - Multiparameter-Wetterradar-Verfahren - Automobil- und Flugzeugradar - Systemkalibrierung - Biologische Effekte der EM-Strahlung - Antennenentwicklung und -messungen für wellenmodulierte Fernerkundungsradare
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Morin, Matthew Robertson. "Design and Analysis of Receiver Systems in Satellite Communications and UAV Navigation Radar." BYU ScholarsArchive, 2014. https://scholarsarchive.byu.edu/etd/4210.

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The design of a low cost electronically steered array feed (ESAF) is implemented and tested. The ESAF demonstrated satellite tracking capabilities over four degrees. The system was compared to a commercial low-noise block downconverter (LNBF) and was able to receive the signal over a wider angle than the commercial system. Its signal-to-noise ratio (SNR) performance was poor, but a proof of concept for a low cost ESAF used for tracking is demonstrated. Two compact low profile dual circularly polarized (CP) reflector feed antenna designs are also analyzed. One of the designs is a passive antenna dipole array over an electromagnetic band gap (EBG) surface. It demonstrated high isolation between ports for orthogonal polarizations while also achieving quality dual CP performance. Simulations and measurements are shown for this antenna. The other antenna was a microstrip cross antenna. This antenna demonstrated high gain and quality CP but had a large side lobe and low isolation between ports. A global positioning system (GPS) denied multiple input multiple output (MIMO) radar for unmanned aerial vehicles (UAVs) is simulated and tested in a physical optics scattering model. This model is developed and tested by comparing simulated and analytical results. The radar uses channel matrices generated from the MIMO antenna system. The channel matrices are then used to generate correlation matrices. A matrix distance between actively received correlation matrices to stored correlation matrices is used to estimate the position of the UAV. Simulations demonstrate the ability of the radar algorithm to determine its position when flying along a previously mapped path.
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Keydel, Wolfgang, and Madhu Chandra. "Nachtrag zu Wellenausbreitung in Funk-, Mikrowellensystemen und Navigation, WFMN07." Universitätsbibliothek Chemnitz, 2007. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-200702104.

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Im Rahmen der Aktivitäten des ITG Fachausschusses 7.5 „Wellenausbreitung“ im VDE wird eine Fachtagung auf dem Gebiet Wellenausbreitung bei Funk-, Mikrowellensystemen und Navigation vom 4. – 5. Juli 2007 in Chemnitz abgehalten. Die Tagungsphilosophie betont den gemeinsamen Nenner der Wellenausbreitung in diversen Bereichen wie Mikrowellensensorik und Mikrowellensystemen. Bei der Fachtagung sind zusätzlich zu den Beiträgen der Fachausschussmitglieder, die zur Information über die Fachausschussaktivitäten dienen, auch Übersichtsvorträge und Diskussions-Sitzungen vorgesehen. Dem Leitthema zugeordnet, werden die folgenden Themen aus Fernerkundung, Kommunikation und Navigation besonders berücksichtigt: Mikrowellenausbreitung in der Kommunikation und Mikrowellensensorik - Gleichwellennetz - Digitale Übertragung - Mehrwegeausbreitung - Mehrfachnutzung - Innen-Gebäude-Übertragung - Mittelwellenausbreitung - Mobilfunk Nutzung und Anwendung in der Mikrowellensensorik - Radar-Polarimetrie - Bistatische und Multistatische Radarverfahren - Polarimetrische und Multistatische Interferometrie - Multiparameter-Wetterradar-Verfahren - Automobil- und Flugzeugradar - Kalibrierung - Biologische Effekte der EM-Strahlung
The ITG section 7.5 „Wellenausbreitung“ within the VDE (German Association for Electrical, Electronic & Information Technologies) is organising a conference on Wave Propagation in Communication, Microwave Systems and Navigation to be held during 4th and 5th of July 2007 in Chemnitz, Germany. The conference philosophy is to emphasize the commonalty between propagation aspects of microwave remote sensing sensors and microwave systems at large. In addition to the contributions from the members of ITG section 7.5, planned are review presentations and discussion sessions. The following topics of Remote Sensing, Communication and Navigation are eligible for presentation: Microwave Propagation in Communication and Microwave Sensors - Band Shared Broadcasting - Multi-Path Propagation - Digital Broadcasting - MIMO Systems and Reuse - Indoor Propagation - Medium Wave Propagation - Mobile Communication Applications of Microwave Sensors - Radar Polarimetry - Bistatic and Multistatic Radar - Polarimetric and Multistatic Interferometry - Multi-Parameter Weather Radar Systems - Automotive and Airborne Radars - System Calibration - Biological Effects of EM-Radiation
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10

Vydhyanathan, Arun. "Effect of atmospheric paticulates on airborne laser scanning for terrain-referenced navigation." Ohio : Ohio University, 2006. http://www.ohiolink.edu/etd/view.cgi?ohiou1163793662.

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Books on the topic "Radar navigation"

1

Radar and electronic navigation. 6th ed. London: Butterworths, 1988.

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Bole, A. G. Radar and ARPA manual. 2nd ed. Oxford: Elsevier/Butterworth-Heinemann, 2005.

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Bole, A. G. Radar and ARPAmanual. Oxford: Heinemann Newnes, 1990.

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Robotic navigation and mapping with radar. Boston: Artech House, 2012.

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Alan, Wall, and Dineley W. O, eds. Radar and ARPA manual. 2nd ed. Oxford: Elsevier/Butterworth-Heinemann, 2005.

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Bole, A. G. Radar and ARPA manual. Oxford: Heinemann Newnes, 1990.

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Lownsborough, Roger. Electronic aids to navigation: Radar and ARPA. London: Edward Arnold, 1993.

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Essential boat radar. Chichester, West Sussex, England: John Wiley & Sons, 2009.

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Harbell, Steve C. Radar for fishing and recreational vessels. Seattle, Wash: Washington Sea Grant, Marine Advisory Services, 1988.

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The radar book: Effective navigation and collision avoidance. 2nd ed. Anacortes, WA: Fine Edge, 2008.

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Book chapters on the topic "Radar navigation"

1

Terheyden, Karl, and Gerhard Zickwolff. "Radar." In Navigation, 120–250. Berlin, Heidelberg: Springer Berlin Heidelberg, 1986. http://dx.doi.org/10.1007/978-3-662-21924-9_3.

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Schüssler, Harald. "Radar Altimetry for Land Applications." In High Precision Navigation, 286–93. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-74585-0_21.

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Haykin, Simon. "Polarimetric Radar for Accurate Navigation." In Proceedings International Symposium on Marine Positioning, 69–76. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3885-4_7.

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Georghiou, Luke, J. Stanley Metcalfe, Michael Gibbons, Tim Ray, and Janet Evans. "Kelvin Hughes: Radar Navigation Aid." In Post-Innovation Performance, 198–205. London: Palgrave Macmillan UK, 1986. http://dx.doi.org/10.1007/978-1-349-07455-6_22.

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Griffiths, Hugh. "Advances in Radar Altimetry Techniques for Topographic Mapping." In High Precision Navigation, 251–60. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-74585-0_18.

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Akmaykin, Denis Alexandrovich, Eduard Anatolyevich Bolelov, Anatoliy Ivanovich Kozlov, Boris Valentinovich Lezhankin, Alexander Evgenievich Svistunov, and Yury Grigorievich Shatrakov. "Coherent Radar Systems." In Theoretical Foundations of Radar Location and Radio Navigation, 157–65. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-6514-8_8.

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Manhart, Sigmund, Peter Autenzeller, and Walter Braumandl. "Pulsed Laser Radar for Close Range Operation in Space." In High Precision Navigation, 432–42. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-74585-0_32.

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Kim, Yong-Hoon. "A KU-Band Solid State Radar Altimeter for Topographic Application." In High Precision Navigation, 261–74. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-74585-0_19.

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Akmaykin, Denis Alexandrovich, Eduard Anatolyevich Bolelov, Anatoliy Ivanovich Kozlov, Boris Valentinovich Lezhankin, Alexander Evgenievich Svistunov, and Yury Grigorievich Shatrakov. "Multi-channel Radar Systems." In Theoretical Foundations of Radar Location and Radio Navigation, 181–92. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-6514-8_10.

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Akmaykin, Denis Alexandrovich, Eduard Anatolyevich Bolelov, Anatoliy Ivanovich Kozlov, Boris Valentinovich Lezhankin, Alexander Evgenievich Svistunov, and Yury Grigorievich Shatrakov. "Goniometric Radio Navigation Systems." In Theoretical Foundations of Radar Location and Radio Navigation, 277–310. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-6514-8_15.

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Conference papers on the topic "Radar navigation"

1

Johnson, David, and Graham Brooker. "Research radar for unmanned navigation." In 2008 International Conference on Radar (Radar 2008). IEEE, 2008. http://dx.doi.org/10.1109/radar.2008.4653911.

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Smith, G. E., and C. J. Baker. "Echoic flow for autonomous navigation." In IET International Conference on Radar Systems (Radar 2012). Institution of Engineering and Technology, 2012. http://dx.doi.org/10.1049/cp.2012.1594.

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Reich, Galen M., Michael Antoniou, and Christopher J. Baker. "MIMO Radar for Cognitive Robot Platform Control and Navigation." In 2019 International Radar Conference (RADAR). IEEE, 2019. http://dx.doi.org/10.1109/radar41533.2019.171268.

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Shuai, Jiang, Xiang Maosheng, Wang Bingnan, Fu Xikai, Li Yinwei, Su Weiran, and Yang Yu. "The method of InSAR/INS integrated navigation." In 2016 CIE International Conference on Radar (RADAR). IEEE, 2016. http://dx.doi.org/10.1109/radar.2016.8059349.

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Rouveure, Raphael, Christophe Debain, Remi Peuchot, and Jean Laneurit. "Robot Localization and Navigation with a Ground-Based Microwave Radar." In 2019 International Radar Conference (RADAR). IEEE, 2019. http://dx.doi.org/10.1109/radar41533.2019.171233.

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Kristoffersen, Stein, Karina V. Hoel, Oyvind Thingsrud, and Emil B. Kalveland. "Digital coherent processing to enhance moving targets detection in a navigation radar." In 2014 International Radar Conference (Radar). IEEE, 2014. http://dx.doi.org/10.1109/radar.2014.7060295.

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Urbanietz, Christoph, Gerald Enzner, Alexander Orth, Patrick Kwiatkowski, and Nils Pohl. "A Radar-based Navigation Assistance Device With Binaural Sound Interface for Vision-impaired People." In ICAD 2019: The 25th International Conference on Auditory Display. Newcastle upon Tyne, United Kingdom: Department of Computer and Information Sciences, Northumbria University, 2019. http://dx.doi.org/10.21785/icad2019.023.

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Sound is extremely important to our daily navigation, while sometimes slightly underestimated relative to the simultaneous presence of the visual sense. Indeed, the spatial sense of sound can immediately identify the direction of danger far beyond the restricted sense of vision. The sound is then rapidly and unconsciously interpreted by assigning a meaning to it. In this paper, we therefore propose an assisted-living device that deliberately stimulates the sense of hearing in order to assist vision-impaired people in navigation and orientation tasks. The sense of vision in this framework is replaced with a sensing capability based on radar, and a comprehensive radar profile of the environment is translated into a dedicated sound representation, for instance, to indicate the distances and directions of obstacles. The concept thus resembles a bionic adaptation of the echolocation system of bats, which can provide successful navigation entirely in the dark. The process of translating radar data into sound in this context is termed “sonification”. An advantage of radar sensing over optical cameras is the independence from environmental lighting conditions. Thus, the envisioned system can operate as a range extender of the conventional white cane. The paper technically reports the radar and binaural sound engine of our system and, specifically, describes the link between otherwise asynchronous radar circuitry and the binaural audio output to headphones.
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Chen, Li-wen, and Jian-sheng Zheng. "Optimization and realization of anti-interference algorithm to navigation receiver." In 2016 CIE International Conference on Radar (RADAR). IEEE, 2016. http://dx.doi.org/10.1109/radar.2016.8059176.

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Frejlichowski, Dariusz, and Andrzej Lisaj. "Analysis of lossless radar images compression for navigation in marine traffic and remote transmission." In 2008 IEEE Radar Conference (RADAR). IEEE, 2008. http://dx.doi.org/10.1109/radar.2008.4720964.

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Conti, M., C. Moscardini, and A. Capria. "SMARP Passive Radar for Harbour Protection and Navigation Safety: Trials Results." In International Conference on Radar Systems (Radar 2017). Institution of Engineering and Technology, 2017. http://dx.doi.org/10.1049/cp.2017.0414.

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Reports on the topic "Radar navigation"

1

Gebre-Egziabher, Demoz. On Orbit Relative Navigation and Proximity Sensing Using a GPS Bi-static Radar. Fort Belvoir, VA: Defense Technical Information Center, June 2011. http://dx.doi.org/10.21236/ada578999.

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Larry G. Stolarczyk, Gerald L. Stolarczyk, Larry Icerman, John Howard, and Hooman Tehrani. Development of Radar Navigation and Radio Data Transmission for Microhole Coiled Tubing Bottom Hole Assemblies. Office of Scientific and Technical Information (OSTI), March 2007. http://dx.doi.org/10.2172/935201.

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Coastal Lidar And Radar Imaging System (CLARIS) mobile terrestrial lidar survey along the Outer Banks, North Carolina in Currituck and Dare counties. Coastal and Hydraulics Laboratory (U.S.), January 2020. http://dx.doi.org/10.21079/11681/39419.

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The Coastal Observation and Analysis Branch (COAB) located at the Field Research Facility (FRF) conducts quarterly surveys and post-storm surveys along up to 60 kilometers of coastline within the vicinity of the FRF to assess, evaluate, and provide updated observations of the morphology of the foreshore and dune system. The surveys are conducted using a mobile terrestrial LiDAR scanner coupled with an Inertial Navigation System (INS). Traditionally the surveys coincide with a low tide, exposing the widest swath of visible sediment to the scanner as well as enough wind-sea swell or texture to induce wave breaking upon the interior sandbars. The wave field is measured with X-Band radar which records a spatial time series of wave direction and speed. Data for the survey region was collected using the VZ-2000's mobile, 3D scanning mode where the scanner continuously rotates the line scan 360 degrees as the vehicle progresses forward. Elevation measurements are acquired on all sides of the vehicle except for the topography directly underneath the vehicle. As the vehicle moves forward, the next rotation will capture the previous position's occluded data area. Laser data is acquired in mobile 3D radar mode with a pulse repetition rate of 300kHz, theta resolution of 0.19 degrees and phi resolution of 0.625 degrees. Horizontal Datum NAD83(2011), Projection North Carolina State Plane (3200) meters; Vertical Datum NAVD88, meters with geoid09 applied.
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Coastal Lidar And Radar Imaging System (CLARIS) mobile terrestrial lidar survey along the Outer Banks, North Carolina in Currituck and Dare counties. Coastal and Hydraulics Laboratory (U.S.), January 2020. http://dx.doi.org/10.21079/11681/39419.

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The Coastal Observation and Analysis Branch (COAB) located at the Field Research Facility (FRF) conducts quarterly surveys and post-storm surveys along up to 60 kilometers of coastline within the vicinity of the FRF to assess, evaluate, and provide updated observations of the morphology of the foreshore and dune system. The surveys are conducted using a mobile terrestrial LiDAR scanner coupled with an Inertial Navigation System (INS). Traditionally the surveys coincide with a low tide, exposing the widest swath of visible sediment to the scanner as well as enough wind-sea swell or texture to induce wave breaking upon the interior sandbars. The wave field is measured with X-Band radar which records a spatial time series of wave direction and speed. Data for the survey region was collected using the VZ-2000's mobile, 3D scanning mode where the scanner continuously rotates the line scan 360 degrees as the vehicle progresses forward. Elevation measurements are acquired on all sides of the vehicle except for the topography directly underneath the vehicle. As the vehicle moves forward, the next rotation will capture the previous position's occluded data area. Laser data is acquired in mobile 3D radar mode with a pulse repetition rate of 300kHz, theta resolution of 0.19 degrees and phi resolution of 0.625 degrees. Horizontal Datum NAD83(2011), Projection North Carolina State Plane (3200) meters; Vertical Datum NAVD88, meters with geoid09 applied.
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