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Academic literature on the topic 'Multistatic Radar Systems'

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Published: 4 June 2021

Last updated: 1 February 2022

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Journal articles on the topic "Multistatic Radar Systems"

Zhong, Wei, Xianghui Xue, Wen Yi, Iain M. Reid, Tingdi Chen, and Xiankang Dou. "Error analyses of a multistatic meteor radar system to obtain a three-dimensional spatial-resolution distribution." Atmospheric Measurement Techniques 14, no. 5 (May 31, 2021): 3973–88. http://dx.doi.org/10.5194/amt-14-3973-2021.

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Abstract. In recent years, the concept of multistatic meteor radar systems has attracted the attention of the atmospheric radar community, focusing on the mesosphere and lower thermosphere (MLT) region. Recently, there have been some notable experiments using such multistatic meteor radar systems. Good spatial resolution is vital for meteor radars because nearly all parameter inversion processes rely on the accurate location of the meteor trail specular point. It is timely then for a careful discussion focused on the error distribution of multistatic meteor radar systems. In this study, we discuss the measurement errors that affect the spatial resolution and obtain the spatial-resolution distribution in three-dimensional space for the first time. The spatial-resolution distribution can both help design a multistatic meteor radar system and improve the performance of existing radar systems. Moreover, the spatial-resolution distribution allows the accuracy of retrieved parameters such as the wind field to be determined.

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Ben Kilani, Moez, Ghyslain Gagnon, and Francois Gagnon. "Multistatic Radar Placement Optimization for Cooperative Radar-Communication Systems." IEEE Communications Letters 22, no. 8 (August 2018): 1576–79. http://dx.doi.org/10.1109/lcomm.2018.2837913.

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Alvarez, Yuri, Yolanda Rodriguez-Vaqueiro, Borja Gonzalez-Valdes, Spiros Mantzavinos, Carey M. Rappaport, Fernando Las-Heras, and Jose Angel Martinez-Lorenzo. "Fourier-Based Imaging for Multistatic Radar Systems." IEEE Transactions on Microwave Theory and Techniques 62, no. 8 (August 2014): 1798–810. http://dx.doi.org/10.1109/tmtt.2014.2332307.

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Wen, Jyh-Horng, Jheng-Sian Li, Cheng-Ying Yang, Chun-Hung Chen, Hsing-Chung Chen, and Chuan-Hsien Mao. "Localization scheme based on multistatic radar systems." Journal of Ambient Intelligence and Humanized Computing 7, no. 2 (February 17, 2016): 163–69. http://dx.doi.org/10.1007/s12652-016-0347-6.

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Farina, A. "Fundamentals of multisite radar systems: multistatic radars and multiradar systems [Book Review]." IEEE Aerospace and Electronic Systems Magazine 16, no. 4 (April 2001): 44. http://dx.doi.org/10.1109/maes.2001.918029.

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Svetlichniy, Y. A., and P. A. Degtyarev. "Syncronization and Data Transmission in Multistatic Radar Systems." Proceedings of Tomsk State University of Control Systems and Radioelectronics 22, no. 3 (2019): 7–12. http://dx.doi.org/10.21293/1818-0442-2019-22-3-7-12.

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Stinco, Pietro, Maria S. Greco, Fulvio Gini, and Mario La Manna. "Non‐cooperative target recognition in multistatic radar systems." IET Radar, Sonar & Navigation 8, no. 4 (April 2014): 396–405. http://dx.doi.org/10.1049/iet-rsn.2013.0063.

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Farina, A. "Tracking function in bistatic and multistatic radar systems." IEE Proceedings F Communications, Radar and Signal Processing 133, no. 7 (1986): 630. http://dx.doi.org/10.1049/ip-f-1.1986.0100.

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Do, Cong-Thanh, and Hoa Nguyen. "Tracking Multiple Targets from Multistatic Doppler Radar with Unknown Probability of Detection." Sensors 19, no. 7 (April 8, 2019): 1672. http://dx.doi.org/10.3390/s19071672.

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The measurements from multistatic radar systems are typically subjected to complicated data association, noise corruption, missed detection, and false alarms. Moreover, most of the current multistatic Doppler radar-based approaches in multitarget tracking are based on the assumption of known detection probability. This assumption can lead to biased or even complete corruption of estimation results. This paper proposes a method for tracking multiple targets from multistatic Doppler radar with unknown detection probability. A closed form labeled multitarget Bayes filter was used to track unknown and time-varying targets with unknown probability of detection in the presence of clutter, misdetection, and association uncertainty. The efficiency of the proposed algorithm was illustrated via numerical simulation examples.

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Amanipour, Vahideh, and Ali Olfat. "CFAR detection for multistatic radar." Signal Processing 91, no. 1 (January 2011): 28–37. http://dx.doi.org/10.1016/j.sigpro.2010.06.003.

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Dissertations / Theses on the topic "Multistatic Radar Systems"

Yong, Ng Chee. "Multistatic radar imaging of moving targets." Thesis, Monterey, California : Naval Postgraduate School, 2009. http://edocs.nps.edu/npspubs/scholarly/theses/2009/Dec/09Dec%5FNg_Chee.pdf.

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Thesis (M.S. in Combat Systems Technology)--Naval Postgraduate School, December 2009.
Thesis Advisor(s): Borden, Brett H. Second Reader: Pace, Phillip E. "December 2009." Description based on title screen as viewed on January 26, 2010. Author(s) subject terms: Radar imaging, moving targets, point spread function, ambiguity function. Includes bibliographical references (p.69). Also available in print.

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Alfaro, Hidalgo Luis Adolfo. "Experimental path loss models for UWB multistatic radar systems." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2017. http://amslaurea.unibo.it/14656/.

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The use of Ultra-Wideband (UWB) radio technology in a multistatic radar system has recently gained interest to implement Wireless Sensor Networks (WSN) capable of detecting and tracking targets in indoor environments. Due to the increasing attention towards multistatic UWB systems, it is important to perform the radio channel characterization. In this thesis we focus on the characterization of the path loss exponent (α). To perform the present work, the followed methodology was to collect experimental data from the UWB devices using a suitable target, this information was processed with a clutter removal algorithm using the Empty Room (ER) approach, then the contribution of the target was isolated to produce a graph of energy as a function of the product between the target-to-transmitter and the target-to-receiver distances in a bistatic configuration. Finally, using this plot it was properly obtained the value of the path loss exponent. As as additional experimental result, the main statistical parameters associated to the residual clutter were calculated, which are expected to allow having a better understanding and characterization of the radar system performance in the experimental environments.

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Brooker, Marc. "The design and implementation of a simulator for multistatic radar systems." Doctoral thesis, University of Cape Town, 2008. http://hdl.handle.net/11427/5253.

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Includes abstract.
Includes bibliographical references (leaves 149-169).
This thesis presents the design and implementation of a signal level simulator supporting a wide variety of radar systems, and focusing on multistatic and netted radars. The simulator places few limits on the simulated system, and supports systems with arbitrary numbers of receivers, transmitters, and scatterers. Similarly, the simulator places no restrictions on the radar waveform to be simulated, and supports pulsed, continuous wave (CW) and carrier-free radar systems. A flexible model is used to describe the radar system to be simulated, with the parameters of the radar hardware, the properties of scatterers and the layout of objects in the simulated environment specified in XML format. The development of the simulation model focused on balancing the requirements of flexibility and usability, ensuring that the model can be efficiently used to represent any type of radar system. Oscillator phase noise is a limiting factor on the performance of some types of radar systems. The development of a model for the deterministic and static components of phase noise is presented. Based on this model, an algorithm for the efficient generation of synthetic phase noise sequences was developed, based on a multirate signal processing approach. This thesis presents this algorithm, and results of simulations of the effects of phase noise on synthetic aperture radar (SAR) and pulse-Doppler radar systems. The FERS simulator, an implementation of the simulation model presented in this thesis, was developed in the C++ and Python programming languages. This simulator is able to perform real-time simulation of some common radar configurations on commodity PC hardware, taking advantage of multicore and multiprocessor machines. FERS has been released as open source software under the GNU general public licence (GPL). Validation of the simulator output was performed by comparison of simulation results with both theory and measurements. The simulator output was found to be accurate for a wide variety of radar systems, including netted pulse-Doppler, moving target indication (MTI) and synthetic aperture (SAR) radar systems.

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Al, Mashhadani Waleed. "The use of multistaic radar in reducing the impact of wind farm on civilian radar system." Thesis, University of Manchester, 2017. https://www.research.manchester.ac.uk/portal/en/theses/the-use-of-multistaic-radar-in-reducing-the-impact-of-wind-farm-on-civilian-radar-system(a80fd906-e670-42a0-9efb-ea22250c87f2).html.

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The effects of wind farm installation on the conventional monostatic radar operation have been investigated in previous studies. The interference on radar operation is due to the complex scattering characteristics from the wind turbine structure. This research considers alternative approach for studying and potentially mitigating these negative impacts by adapting the multistatic radar system technique. This radar principle is well known and it is attracting research interest recently, but has not been applied in modelling the wind farm interference on multistatic radar detection and tracking of multiple targets. The research proposes two areas of novelties. The first area includes the simulation tool development of multistatic radar operation near a wind farm environment. The second area includes the adaptation of Range-Only target detection approach based on mathematical and/or statistical methods for target detection and tracking, such as Interval Analysis and Particle Filter. These methods have not been applied against such complex detection scenario of large number of targets within a wind farm environment. Range-Only target detection approach is often considered to achieve flexibility in design and reduction in cost and complexity of the radar system. However, this approach may require advanced signal processing techniques to effectively associate measurements from multiple sensors to estimate targets positions. This issue proved to be more challenging for the complex detection environment of a wind farm due to the increase in number of measurements from the complex radar scattering of each turbine. The research conducts a comparison between Interval Analysis and Particle Filter. The comparison is based on the performance of the two methods according to three aspects; number of real targets detected, number of ghost targets detected and the accuracy of the estimated detections. Different detection scenarios are considered for this comparison, such as single target detection, wind farm detection, and ultimately multiple targets at various elevations within a wind farm environment.

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Nguyen, Phong Hai. "HIGHLY-DIGITAL ARCHITECTURES AND INTEGRATED FRONT-ENDS FOR MULTI-ANTENNA GROUND-PENETRATING RADAR (GPR) SYSTEMS." Case Western Reserve University School of Graduate Studies / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=case1594642732791415.

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John, Mathew. "Acceleration of parasitic multistatic radar system using GPGPU." Master's thesis, University of Cape Town, 2011. http://hdl.handle.net/11427/11322.

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This dissertation details the implementation of PMR [Parasitic Multistatic Radar] signal processing chain in the GPGPU [General Purpose Graphic Processing Units] platform. The primary objective of the project is to accelerate the signal processing chain without compromising the algorithm efficiency and to prove that GPGPUs are a promising platform for parasitic radar signal processing.

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Doughty, Shaun Raymond. "Development and performance evaluation of a multistatic radar system." Thesis, University College London (University of London), 2008. http://discovery.ucl.ac.uk/1444153/.

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Multistatic radar systems are of emerging interest as they can exploit spatial diversity, enabling improved performance and new applications. Their development is being fuelled by advances in enabling technolo gies in such fields as communications and Digital Signal Processing (DSP). Such systems differ from typical modern active radar systems through consisting of multiple spatially diverse transmitter and re ceiver sites. Due to this spatial diversity, these systems present challenges in managing their operation as well as in usefully combining the multiple sources of information to give an output to the radar operator. In this work, a novel digital Commercial Off-The-Shelf (COTS) based coherent multistatic radar system designed at University College London, named 'NetRad', has been developed to produce some of the first published experimental results, investigating the challenges of operating such a system, and determining what level of performance might be achievable. Full detail of the various stages involved in the combination of data from the component transmitter-receiver pairs within a multistatic system is investigated, and many of the practical issues inherent are discussed. Simulation and subsequent experimental verification of several centralised and decentralised detec tion algorithms in terms of localisation (resolution and parameter estimation) of targets was undertaken. The computational cost of the DSP involved in multistatic data fusion is also considered. This gave a clear demonstration of several of the benefits of multistatic radar. Resolution of multiple targets that would have been unresolvable in a conventional monostatic system was shown. Targets were also shown to be plotted as two-dimensional vector position and velocities from use of time delay and Doppler shift information only. A range of targets were used including some such as walking people which were particularly challenging due to the variability of Radar Cross Section (RCS). Performance improvements were found to be dependant on the type of multistatic radar, method of data fusion and target characteristics in question. It is likely that future work will look to further explore the optimisation of multistatic radar for the various measures of performance identified and discussed in this work.

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Awarkeh, Nour. "2D indoor localization system with an UWB multistatic radar." Electronic Thesis or Diss., Université Paris-Saclay (ComUE), 2019. http://www.theses.fr/2019SACLT041.

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De nos jours, la capacité de suivre des objets et des personnes est cruciale pour un grand nombre d’applications, telles que les applications médicales (surveillance de patients) ou les applications indépendantes qui nécessitent une très grande précision et résolution dans le processus de positionnement. Par conséquent, l’objectif scientifique principal de cette thèse est de développer un système de suivi utilisant un système de radar multistatique UWB pour fournir une localisation 2D en temps réel de transpondeurs ou de balises actives. La localisation est réalisée en coordonnées polaires (distance et angle d’azimut) en fusionnant les principes d’interférométrie et de goniométrie, en supposant un canal de propagation à trajet direct, ou LoS entre la station et la cible. L’ILS conçu utilise une technique hybride en combinant les méthodes duplex UWB et de corrélation de phase pour les estimations de la distance radiale et de l’angle d’Azimut. L’ILS proposé comprend deux composants principaux, une station émettrice/réceptrice servant de LBS et un AT. Le LBS a une chaîne d’émission et deux chaînes de réception identiques et indépendantes. La localisation est effectuée en envoyant des impulsions UWB vers l’AT qui joue le rôle de transpondeur actif et retransmet le signal reçu¸ à son tour au LBS après l’avoir retardé. Cet ILS conçu¸ devrait offrir, dans les conditions LoS, une estimation de position avec une précision et une résolution élevées, tout en maintenant une faible complexité du système. Le système fonctionne avec une seule ancre et répond simultanément aux défis intérieurs tels que les trajets multiples, les fortes atténuations de signal, les réflexions, etc
Nowadays, the ability to track objects and people is crucial for a huge number of applications, such as medical applications (monitoring of patients) or independent applications that require a very high accuracy and resolution in the positioning process. Therefore, the main scientific objective of this thesis is to develop a tracking system using an UWB multistatic radar system to provide realtime 2D location of transponders or active tags. The localization is carried out in polar coordinates (distance and azimuth angle) by merging the interferometry and goniometry principles, assuming a propagation channel with a direct path, or LoS between the station and the target. The designed ILS incorporates a hybrid technique by combining the duplex UWB and the Phase Correlation methods for the radial-distance and the azimuth angle estimates. The proposed ILS consists of two main components, a transmitter /receiver (transceiver) station serving as a LBS and an AT. The LBS has one transmitting channel and two identical and independent receiving channels. The localization is performed by sending UWB pulses towards the AT which acts as an active transponder and retransmits in turn the received signal back to the LBS upon delaying it. This designed ILS is expected to offer, under LoS conditions, a position estimation with high accuracy and resolution while maintaining low system complexity. The system works with a single anchor, and simultaneously addresses indoor challenges such as multipaths, strong signal attenuations, reflections, etc

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Derham, Thomas Edward. "Design and evaluation of a coherent multistatic radar system." Thesis, University College London (University of London), 2005. http://discovery.ucl.ac.uk/1446245/.

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Modern radar systems are required to perform a multitude of functions including highly accurate detection, parameter measurement, classification and tracking of targets over long distances. These targets may have low effective visibility and exist in a hostile environment of noise and interferences. Significant improvements in traditional monostatic radar require brute-force approaches such as larger antennas and power amplifiers, which are impractical and expensive. Multistatic radar, comprising a system of multiple, spatially separated transmitters and receivers, is one promising solution to this problem. This thesis concerns the design, development and construction of such a radar at low cost, in particular where each dispersed component of the system is mutually coherent and networked to allow cooperative operation and the joint processing of all received signals. The statistical theory of multistatic detection is analysed and processing algorithms are developed for implementation in the system. Models for the predicted coverage of the radar are developed, and illustrations of the system instrument function axe presented based on the derivation of the ambiguity function for a range of topologies and modes of operation. The requirements for obtaining spatial coherency across the system are considered, and methods of fulfilling these requirements at low cost are devised. A complete design strategy for the radar is developed, based on the use of commercial components and open architecture interfaces. The development of each major subsystem is explained, and the construction of the multistatic radar completed. Finally, the system is tested and calibrated, and some initial experiments are performed in order to determine its performance and demonstrate the advantages of this type of radar.

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Filip-Dhaubhadel, Alexandra [Verfasser]. "L-Band Digital Aeronautical Communication System (LDACS)-Based Non-Cooperative Passive Multistatic Radar for Civil Aviation Surveillance / Alexandra Filip-Dhaubhadel." München : Verlag Dr. Hut, 2021. http://d-nb.info/1238423035/34.

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Books on the topic "Multistatic Radar Systems"

Fundamentals of multisite radar systems: Multistatic radars and multiradar systems. Amsterdam, The Netherlands: Gordon and Breach Science Publishers, 1998.

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Signal Processing for Multistatic Radar Systems. Elsevier, 2020. http://dx.doi.org/10.1016/c2017-0-03314-1.

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K, Walton E., and Lewis Research Center, eds. A planar near-field scanning technique for bistatic radar cross-section measurements. Columbus, Ohio: Ohio State University, ElectroScience Laboratary, 1990.

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Book chapters on the topic "Multistatic Radar Systems"

López-Dekker, Paco, Gerhard Krieger, and Alberto Moreira. "Multistatic Radar Systems." In Distributed Space Missions for Earth System Monitoring, 61–122. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-4541-8_2.

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Shankar, Jailaxmi, B. V. Srividya, and Paramananda Jena. "A Design Approach for Real-Time Data Level Multi-target Trajectory Simulator for Bi/Multistatic Radar." In Lecture Notes in Networks and Systems, 271–82. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0980-0_26.

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Dash, Dillip, and J. Valarmathi. "Radar Emitter Identification in Multistatic Radar System: A Review." In Advances in Automation, Signal Processing, Instrumentation, and Control, 2655–64. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8221-9_248.

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O’Hagan, Daniel W., Shaun R. Doughty, and Michael R. Inggs. "Multistatic radar systems." In Academic Press Library in Signal Processing, Volume 7, 253–75. Elsevier, 2018. http://dx.doi.org/10.1016/b978-0-12-811887-0.00005-5.

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Nguyen, Ngoc Hung, and Kutluyıl Doğançay. "Waveform selection for distributed multistatic target tracking." In Signal Processing for Multistatic Radar Systems, 63–72. Elsevier, 2020. http://dx.doi.org/10.1016/b978-0-12-815314-7.00013-5.

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"Front Matter." In Signal Processing for Multistatic Radar Systems, i—iii. Elsevier, 2020. http://dx.doi.org/10.1016/b978-0-12-815314-7.00002-0.

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"Copyright." In Signal Processing for Multistatic Radar Systems, iv. Elsevier, 2020. http://dx.doi.org/10.1016/b978-0-12-815314-7.00003-2.

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"Contents." In Signal Processing for Multistatic Radar Systems, v—vii. Elsevier, 2020. http://dx.doi.org/10.1016/b978-0-12-815314-7.00004-4.

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"About the Authors." In Signal Processing for Multistatic Radar Systems, ix. Elsevier, 2020. http://dx.doi.org/10.1016/b978-0-12-815314-7.00005-6.

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"Preface." In Signal Processing for Multistatic Radar Systems, xi—xii. Elsevier, 2020. http://dx.doi.org/10.1016/b978-0-12-815314-7.00006-8.

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Conference papers on the topic "Multistatic Radar Systems"

van Dorp, P., J. M. M. Verzeilberg, and M. P. G. Otten. "Coherent multistatic ISAR imaging." In IET International Conference on Radar Systems (Radar 2012). Institution of Engineering and Technology, 2012. http://dx.doi.org/10.1049/cp.2012.1624.

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Sammartino, P. F., C. J. Baker, and M. Rangaswamy. "Moving target localization with multistatic radar systems." In 2008 IEEE Radar Conference (RADAR). IEEE, 2008. http://dx.doi.org/10.1109/radar.2008.4720812.

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Doughty, S. R., K. Woodbridge, and C. J. Baker. "Improving resolution using multistatic radar." In IET International Conference on Radar Systems 2007. IEE, 2007. http://dx.doi.org/10.1049/cp:20070498.

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Brisken, S., T. Mathy, E. Giusti, M. Martorella, and C. Wasserzier. "Multistatic ISAR autofocussing using image contrast optimization." In IET International Conference on Radar Systems (Radar 2012). Institution of Engineering and Technology, 2012. http://dx.doi.org/10.1049/cp.2012.1623.

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Testa, Alejandro, Fabrizio Santi, and Debora Pastina. "Translational motion estimation with multistatic ISAR systems." In 2021 International Radar Symposium (IRS). IEEE, 2021. http://dx.doi.org/10.23919/irs51887.2021.9466180.

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Kraus, T., M. Bachmann, L. Heiderich, G. Krieger, and A. Moreira. "Multistatic SAR imaging: comparison of simulation results and experimental data." In International Conference on Radar Systems (Radar 2017). Institution of Engineering and Technology, 2017. http://dx.doi.org/10.1049/cp.2017.0492.

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Gjessing, D. T. "Characterization of low observable targets and wakes by a matched illumination multifrequency, multistatic radar system." In Radar Systems (RADAR 97). IEE, 1997. http://dx.doi.org/10.1049/cp:19971736.

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Namyoon Lee and Joohwan Chun. "Orthogonal pulse compression code design for waveform iversity in multistatic radar systems." In 2008 IEEE Radar Conference (RADAR). IEEE, 2008. http://dx.doi.org/10.1109/radar.2008.4720803.

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Yang, Heeseong, Joohwan Chun, and Daeyoung Chae. "Two-stage localization method in multistatic radar systems." In 2014 IEEE Radar Conference (RadarCon). IEEE, 2014. http://dx.doi.org/10.1109/radar.2014.6875749.

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Kulpa, Krzysztof, Stanislaw Rzewuski, Zbigniew Gajo, and Mateusz Malanowski. "Concept of multistatic Passive radar based on wireless packet communication systems." In 2011 IEEE CIE International Conference on Radar (Radar). IEEE, 2011. http://dx.doi.org/10.1109/cie-radar.2011.6159497.

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Reports on the topic "Multistatic Radar Systems"

Chambers, D., D. Paglieroni, J. Mast, and N. Beer. Real-Time Vehicle-Mounted Multistatic Ground Penetrating Radar Imaging System for Buried Object Detection. Office of Scientific and Technical Information (OSTI), January 2013. http://dx.doi.org/10.2172/1068301.

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