Relevant bibliographies by topics / Radar Detection

Contents

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

Academic literature on the topic 'Radar Detection'

Author: Grafiati
Published: 4 June 2021
Last updated: 5 March 2023

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Journal articles on the topic "Radar Detection"

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Rudys, Saulius, Paulius Ragulis, Andrius Laučys, Domantas Bručas, Raimondas Pomarnacki, and Darius Plonis. "Investigation of UAV Detection by Different Solid-State Marine Radars." Electronics 11, no. 16 (August 11, 2022): 2502. http://dx.doi.org/10.3390/electronics11162502.

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The development of unmanned aerial vehicle (UAV) technologies provides not only benefits but also threats. UAV technologies are developing faster than means of detecting and neutralizing them. Radar technology is one of the means of UAV detection which provides the longest detection range. Today’s market provides low-cost solid-state marine radar working on FMCW and pulse-compression principles of operation. Despite such radars having attractive features, they were not designed for UAV detection. Although they are not optimal, they could be used for UAV detection. The detection possibility of UAVs by marine radars was investigated by using three types of radars and two types of small UAVs as targets. Radar cross-section measurements of the targets were made in laboratory conditions.
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Oh, Soo Young, Kyu Ho Cha, Hayoung Hong, Hongsoo Park, and Sun K. Hong. "Measurement of Nonlinear RCS of Electronic Targets for Nonlinear Detection." Journal of Electromagnetic Engineering and Science 22, no. 4 (July 31, 2022): 447–51. http://dx.doi.org/10.26866/jees.2022.4.r.108.

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The conventional radar technology is based on linear detection—i.e., the same transmit and receive frequencies are used. However, with linear radars, difficulties arise when detecting electronic objects with relatively small radar cross section (RCS). To overcome these limitations, a nonlinear radar that can detect nonlinear responses (i.e., harmonic and intermodulation) scattered by electronic devices due to nonlinear interaction can be utilized. Nonlinear radars require a different analysis from linear radars for analyzing RCS. In this paper, we present an experimental analysis of the nonlinear RCS of various electronic devices. Unlike linear radars, RCS in nonlinear radars is determined by the amount of nonlinear responses backscattered to the radar. Therefore, we derive a radar equation accustomed to harmonic radars that consists of nonlinear RCS. We then obtain and analyze the nonlinear RCS of various targets from the measured harmonic responses of the targets based on the nonlinear radar equation.
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Tahcfulloh, Syahfrizal, and Muttaqin Hardiwansyah. "Parameter Estimation and Target Detection of Phased-MIMO Radar Using Capon Estimator." Jurnal Elektronika dan Telekomunikasi 20, no. 2 (December 31, 2020): 60. http://dx.doi.org/10.14203/jet.v20.60-69.

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Phased-Multiple Input Multiple Output (PMIMO) radar is multi-antenna radar that combines the main advantages of the phased array (PA) and the MIMO radars. The advantage of the PA radar is that it has a high directional coherent gain making it suitable for detecting distant and small radar cross-section (RCS) targets. Meanwhile, the main advantage of the MIMO radar is its high waveform diversity gain which makes it suitable for detecting multiple targets. The combination of these advantages is manifested by the use of overlapping subarrays in the transmit (Tx) array to improve the performance of parameters such as angle resolution and detection accuracy at amplitude and phase proportional to the maximum number of detectable targets. This paper derives a parameter estimation formula with Capon's adaptive estimator and evaluates it for the performance of these parameters. Likewise, derivation for expressions of detection performance such as the probability of false alarm and the probability of detection is also given. The effectiveness and validation of its performance are compared to conventional estimator for other types of radars in terms of the effect of the number of target angles, the RCS of targets, and variations in the number of subarrays at Tx of this radar. Meanwhile, the detection performance is evaluated based on the effect of Signal to Noise Ratio (SNR) and the number of subarrays at Tx. The evaluation results of the estimator show that it is superior to the conventional estimator for estimating the parameters of this radar as well as the detection performance. Having no sidelobe makes this estimator strong against the influence of interference and jamming so that it is suitable and attractive for the design of radar systems. Root mean square error (RMSE) on magnitude detection from LS and Capon estimators were 0.033 and 0.062, respectively. Meanwhile, the detection performance for this radar has the probability of false alarm above 10-4 and the probability of detection of more than 99%.
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Kovalevskii, S. "STUDY OF DETECTION AND RADAR STEALTH PINPOINT AIR OBJECTS." Системи управління, навігації та зв’язку. Збірник наукових праць 1, no. 59 (February 26, 2020): 137–40. http://dx.doi.org/10.26906/sunz.2020.1.137.

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The subject study of the article is to identify radar stealth and pinpoint aerial objects used in the national economy during their operation. The article is research process efficiency in detecting radar stealth and pinpoint aerial objects. The problem to be solved – just ification of technical solutions and their implementation in practice of detecting radar stealth and pinpoint air objects will improve efficiency in their radar detection by applying detection device using stealth and pinpoint lights overhead objects used in the national economy, which is offered. The article reviewed: promising ways to improve the detection of small aircraft and stealth objects of the simultaneous use of its properties and effective surface scattering algorithm using optimal processing signals reflected stealth and pinpoint objects in the air and block diagram using backlight stealth and pinpoint multiple objects overhead space-spaced transmitter block diagram detection device using the backlight stealth and pinpoint multiple objects overhead space-spaced transmitters, which corresponds to one volume and one separate speed channel being developed. Conclusion: The proposed technical solutions should be used as the modernization of existing radars and in creating advanced radar designs
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Cha, Kyuho, Sooyoung Oh, Hayoung Hong, Hongsoo Park, and Sun K. Hong. "Detection of Electronic Devices Using FMCW Nonlinear Radar." Sensors 22, no. 16 (August 15, 2022): 6086. http://dx.doi.org/10.3390/s22166086.

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Nonlinear radars can be utilized to detect electronic devices, which are difficult to detect with conventional radars due to their small radar cross sections (RCS). Since the receiver in a nonlinear radar is designed to only receive harmonic or intermodulated echoes from electronic devices, it is able to separate electronic devices from non-electronic scatters (clutter) by rejecting their echoes at fundamental frequencies. This paper presents a harmonic-based nonlinear radar scheme utilizing frequency-modulated continuous-wave (FMCW) signals for the detection of various electronic devices at short range. Using a laboratory experiment setup for FMCW radar at S-band for Tx (C-band for Rx), measurements are carried out to detect electronic devices of various sizes. The results show that the detection of small electronic devices is possible with nonlinear FMCW radar when appropriate system parameters are selected. Furthermore, we also discuss the maximum detectable range estimation for electronic targets using the radar range equation for FMCW nonlinear radar.
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Mazurek, Gustaw, Krzysztof Kulpa, Mateusz Malanowski, and Aleksander Droszcz. "Experimental Seaborne Passive Radar." Sensors 21, no. 6 (March 20, 2021): 2171. http://dx.doi.org/10.3390/s21062171.

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Passive bistatic radar does not emit energy by itself but relies on the energy emitted by illuminators of opportunity, such as radio or television transmitters. Ground-based passive radars are relatively well-developed, as numerous demonstrators and operational systems are being built. Passive radar on a moving platform, however, is a relatively new field. In this paper, an experimental seaborne passive radar system is presented. The radar uses digital radio (DAB) and digital television (DVB-T) for target detection. Results of clutter analysis are presented, as well as detections of real-life targets.
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Baranov, G., R. Gabruk, and I. Gorishna. "Features of Usіng Pulse-Doppler Radars for Determіnatіon Low-Altіtude Targets." Metrology and instruments, no. 2 (May 3, 2019): 62–66. http://dx.doi.org/10.33955/2307-2180(2)2019.62-66.

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In this paper, we analyzed the features of Doppler processing in radars. In ground based radars, the amount of clutter in the radar receiver depends heavily on the radar-to-target geometry. The amount clutter is considerably higher when the radar beam has to face toward the ground. Furthermore, radars employing high PRFs have to deal with an increased amount of clutter due to folding in range. Clutter introduces additional difficulties for airborne radars when detecting ground targets and other targets flying at low altitudes. This is illustrated in Fig. 10.5. Returns from ground clutter emanate from ranges equal to the radar altitude to those which exceed the slant range along the main-beam, with considerable clutter returns in the side-lobes and main-beam. The presence of such large amounts of clutter interferes with radar detection capabilities and makes it extremely difficult to detect targets in the look-down mode. This difficulty in detecting ground or low altitude targets has led to the development of pulse Doppler radars where other targets, kinematics such as Doppler effects are exploited to enhance detection. Pulse Doppler radars utilize high PRFs to increases the average transmitted power and rely on target's Doppler frequency for detection. The increase in the average transmitted power leads to an improved SNR which helps the detection process. However, using high PRFs compromise the radar's ability to detect long range target because of range ambiguities associated with high PRF applications. Techniques such as using specialized Doppler filters to reject clutter are very effective and are often employed by pulse Doppler radars. Pulse Doppler radars can measure target Doppler frequency (or its range rate) fairly accurately and use the fact that ground clutter typically possesses limited Doppler shift when compared with moving targets to separate the two returns. Clutter filtering is used to remove both main-beam and altitude clutter returns, and fast moving target detection is done effectively by exploiting its Doppler frequency. In many modern pulse Doppler radars the limiting factor in detecting slow moving targets is not clutter but rather another source of noise referred to as phase noise generated from the receiver local oscillator instabilities.
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Cao, Yu Peng, Yang Zhang, Jun Luo, Fu Sheng Jian, Xi Guo Dai, Zhu Qun Zhai, Xiao Ying Ma, et al. "Simulation Detection Power of Shore-Based Radar under the Influence of Sea Clutter." Advanced Materials Research 1049-1050 (October 2014): 1200–1204. http://dx.doi.org/10.4028/www.scientific.net/amr.1049-1050.1200.

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According to the principle of electromagnetic wave propagation and the model of radar multipath propagation, this paper established radar detection power model in natural space under the impact of sea clutter, and on condition that conducting simulations to study detection power of shore-based radars on different altitudes and different operating frequencies. Simulation results indicate that when the radar operating frequency is constant, with the erection height increases, the detection range will increase at the same time, while significantly reduced about blind region. When the radar erection height is constant, blind region is filled with radars working at C, S and X operating frequencies. The effect of blind filling is of great importance for adjacent bands. This paper provides theoretical reference analysis for radar detection power assessing and overall with a strong engineering application value.
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Briggs, John N. "Detection of Marine Radar Targets." Journal of Navigation 49, no. 3 (September 1996): 394–409. http://dx.doi.org/10.1017/s0373463300013618.

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A radar must detect targets before it can display them. Yet manufacturers' data sheets rarely tell us what the products will detect at what range. Many of the bigger radars are Type Approved so we consult the relevant IMO performance standard A 477 (XII). Paraphrasing Section 3.1 of the draft forthcoming revision (NAV 41/6): under normal propagation conditions with the scanner at height of 15 m, in the absence of clutter, the radar is required to give clear indication of an object such as a navigational buoy having a radar cross section area (RCS) of 10 m2 at 2 n.m. and, as examples, coastlines whose ground rises to 60/6 m at ranges of 20/7 n.m., a ship of 5000 tons at any aspect at 7 n.m. and a small vessel 10 m long at 3 n.m.This helps, but suppose we must pick up a 5 m2 buoy at g km? What happens in clutter? Should we prefer S- or X-band? To answer such questions we use equations which define the performance of surveillance radars, but the textbooks and specialist papers containing them often generalize with aeronautical and defence topics, making life difficult for the nonspecialist.This paper attempts a concise and self-contained engineering account of all main factors affecting detection of passive and active targets on civil marine and vessel traffic service (VTS) radars. We develop a set of equations for X- and S-band (3 and 10 cm, centred on 9400 and 3000 MHz respectively), suited for spreadsheet calculation.Sufficient theory is sketched in to indicate where results should be valid. Some simplifications of conventional treatments have been identified.
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RAO, P. RAJESH, S. KALYANA SUNDARAM, S. B. THAMPI, R. SURESH, and J. P. GUPTA. "An overview of first Doppler Weather Radar inducted in the cyclone detection network of India Meteorological Department." MAUSAM 55, no. 1 (January 19, 2022): 155–76. http://dx.doi.org/10.54302/mausam.v55i1.963.

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India Meteorological Department (IMD) maintains a wide network of radars for the detection and study of severe weather phenomena like cyclones, thunderstorms, gust front etc. and for deriving upper air wind profile. To keep pace with the fast developments in the field of weather radar technology, IMD is gradually replacing its conventional radars with digital radars, a few of them with Doppler capabilities. An S-band Doppler Weather Radar (DWR) has been inducted into India Meteorological Department’s (IMD) Cyclone Detection Radar (CDR) network recently at Chennai as a replacement to the outlived analogue S-band radar and is declared operational from 21 February 2002. Salient features, both hardware and software, of the radar are discussed in this article.
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Dissertations / Theses on the topic "Radar Detection"

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Lane, Andrew. "Real-time weather radar correlation using a vertically pointing radar." Thesis, University of Salford, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.244841.

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Kasebzadeh, Pedram. "Clutter Detection in Radar Applications." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-171547.

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Radars have been used for detection purposes in safety applications (i.e., blind spot detection radar in cars) extensively. The existing detection methods, however, are not flawless. So far, the main focus of these methods is on detecting an object based on its reflectiveness. In this thesis, the limitation of conventional methods are addressed, and alternative approaches are proposed. The main objective is to model/identify the noise with statistical and machine learning approaches as an alternative to conventional methods that focus on the object. The second objective is to improve the time efficiency of these methods. The data for this thesis contains measurements collected from radars at ABB AB, Sweden. These measurements reflect the received signal strength. These radars are meant to be used in safety applications, such as in industrial environments. Thus, the trade-off between accuracy and complexity of the algorithms is crucial. One way to ensure there is nothing but noise in the surveillance field of the radar is to model the noise only. A new input can then be compared to this model and be classified as noise or not noise (object). One-class classifiers can be employed to approach this problem as they only need noise for training; hence they have been one of the initial proposals in this thesis. Alternatively, binary classifiers are investigated to classify noise and object given a new input data. Moreover, a mathematical model for noise is computed using the Fourier series expansion. While the derived model holds useful information in itself, it can be used, e.g., for hypothesis testing purposes. Furthermore, to make the classification more time-efficient, dimension reduction methods are considered. Feature extraction has been performed for this purpose with the help of the derived noise model. In order to evaluate the performance of the considered methods, three different datasets have been formed. In the first dataset,
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Kim, Jungwhan John. "Road detection on radar imagery." Thesis, Virginia Polytechnic Institute and State University, 1985. http://hdl.handle.net/10919/53080.

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A facet based road network detection procedure is described for radar imagery. The procedure includes a line detection part and a road detection and connection part. The line detection part analytically detects linear features using a facet Valley finding technique. Valleys are defined as zero crossings of the first directional derivatives of a bicubic facet model taken in a direction extremizing the second directional derivative. The road detection and connection part statistically screens the linear features on a component by component basis, and then optimally connects the screened linear features using a dynamic programming algorithm. This thesis also includes as a preprocessing technique for noisy images, an adaptive noise removal algorithm, and suggests a practical method of estimating a local noise variance.
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Ahmed, Atheeq. "Human Detection Using Ultra Wideband Radar and Continuous Wave Radar." Thesis, Linköpings universitet, Kommunikationssystem, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-137996.

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A radar works by radiating electromagnetic energy and detecting the reflected signal returned from the target. The nature of the reflected signal provides information about the target’s distance or speed. In this thesis, we will be using a UWB radar and a CW radar to help detect the presence and rough location of trapped survivors by detecting their motions. Range is estimated in the UWB radar using clutter removal with SVD and for the dual frequency CW Radar using STFT and median filtering. The effect of the algorithm parameters on their performance was analyzed. The performance of the implemented algorithms with regards to small motion detection, distance estimation and penetration capability was analyzed. Both systems are certainly capable of human detection and tracking.
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Jahangir, Mohammed. "Coherent radar clutter statistics." Thesis, University College London (University of London), 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.313422.

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O'Donoughue, Nicholas A. "Stochastic Time Reversal for Radar Detection." Research Showcase @ CMU, 2011. http://repository.cmu.edu/dissertations/178.

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Time Reversal is an adaptive waveform transmission technique particularly suited to dispersive or non-homogenous media that focuses energy on a desired point in space. Early work concentrated on optical and acoustic/ultrasonic applications, followed more recently by applications in the electromagnetic domain. Time Reversal has been used for single- and multi-antenna detection, imaging, communications, non-destructive testing, and beam steering, among other applications. This thesis develops Time Reversal detection algorithms for randomly varying targets embedded in randomly varying clutter. We model the target and clutter as independent complex Gaussian random variables and consider both single-antenna and multi-antenna detection scenarios. We derive the optimal Time-Reversal Likelihood Ratio Test (TR-LRT) for the single-antenna case, as well as a sub-optimal Time Reversal-Linear Quadratic (TR-LQ) detector that allows for a priori threshold and performance computation. These detectors are compared against a benchmark Weighted Energy Detector (WED). For the multi-antenna scenario, we present the Time Reversal MIMO (TR-MIMO) detector and compare its performance to a conventional Spatial MIMO (S-MIMO) radar. We show that, for both scenarios, the relative performance of Time Reversal detection methods depends on the coherence of the channel between the forward and TR transmission stages. We discuss the potential for detection gains with Time Reversal in single-antenna and multi-antenna systems. We discuss lower and upper bounds on gain and show that Time Reversal provides a useful and computationally simple approximation to the optimal transmit signal. To compute the optimal hypothesis test for a Blind TR detection system, we derive a new statistical distribution, the Complex Double Gaussian distribution, which characterizes the complex product Z = XY of independent complex Gaussian random variables X and Y . We also apply this new probability distribution to analyze the performance of M-ary Phase Shift Keying (MPSK) communication systems, showing its applicability well beyond the realm of Time Reversal problems.
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Coe, Godfrey. "Radar studies of the aurora." Thesis, University of Leicester, 1985. http://hdl.handle.net/2381/35859.

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The investigation of the high-latitude aurora by means of the V.H.F. auroral radar SABRE, (Swedish And British auroral Radar Experiment), developed by the Leicester University Ionospheric Physics group, is described. The first two chapters review previous studies of the atmosphere by radar techniques and includes a description of the SABRE radar. The basic radar equation and velocity relationships are derived and the various loss factors examined. From analysis of the echo signal data for the diffuse aurora, and examination of signal data from a radio star, the SABRE radar parameters are established. An investigation is then undertaken of the variation of the electrojet parameters, (derived from application of the radar equation to the SABRE data), with height, electric field strength and geomagnetic conditions. Evidence is found of backscattering from irregularities generated by both two-stream and gradient drift processes. An examination is also made of the echo signals detected at relatively short ranges, of below 370 km, and several causal mechanisms are investigated including scattering processes in the neutral atmosphere. It is evident that aircraft are predominantly the cause of these short-range echoes. This investigation also reveals a number of software and hardware faults in the initial radar configuration. This Thesis is concluded with suggestions for future development of the radar system, which include the implementation of a height-finding facility and improved spectral resolution.
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Rossler, Carl W. Jr. "Adaptive Radar with Application to Joint Communication and Synthetic Aperture Radar (CoSAR)." The Ohio State University, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=osu1366144863.

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Sexton, G. "Ground probing radar signal processing techniques." Thesis, University of Newcastle Upon Tyne, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.354404.

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Ballard, James Philip. "Radar range profile ship signature classification." Thesis, University College London (University of London), 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.272157.

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Books on the topic "Radar Detection"

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Geological Survey (U.S.), ed. Radar reflector detection. Reston, Va: U.S. Dept. of the Interior, U.S. Geological Survey, 1985.

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1969-, Cain Stephen C., ed. Direct-detection LADAR systems. Bellingham, Wash: SPIE Press, 2009.

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1931-, Haykin Simon S., and Steinhardt Allan Otto, eds. Adaptive radar detection and estimation. New York: Wiley, 1992.

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Richmond, Richard D. Direct-detection LADAR systems. Bellingham, Wash: SPIE Press, 2009.

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Richmond, Richard D. Direct-detection LADAR systems. Bellingham, Wash: SPIE Press, 2009.

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Richmond, Richard D. Direct-detection LADAR systems. Bellingham, Wash: SPIE Press, 2009.

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Bohne, Alan R. In-flight turbulence detection. Hanscom AFB, MA: Atmospheric Sciences Division, Air Force Geophysics Laboratory, 1985.

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Bohne, Alan R. In-flight turbulence detection. Hanscom AFB, MA: Atmospheric Sciences Division, Air Force Geophysics Laboratory, 1985.

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Bohne, Alan R. In-flight turbulence detection. Hanscom AFB, MA: Atmospheric Sciences Division, Air Force Geophysics Laboratory, 1985.

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R, Bohne Alan. In-flight turbulence detection. Hanscom AFB, MA: Atmospheric Sciences Division, Air Force Geophysics Laboratory, 1985.

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Book chapters on the topic "Radar Detection"

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Gamba, Jonah. "Radar Target Detection." In Radar Signal Processing for Autonomous Driving, 53–63. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-9193-4_5.

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Weber, Charles L. "Radar Detection Theory." In Springer Texts in Electrical Engineering, 45–51. New York, NY: Springer New York, 1987. http://dx.doi.org/10.1007/978-1-4612-4774-6_6.

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Haykin, Simon. "Cognitive Radar." In Knowledge-Based Radar Detection, Tracking, and Classification, 9–30. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2007. http://dx.doi.org/10.1002/9780470283158.ch2.

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Wu, Peixuan, Xiaoyong Du, and Weidong Hu. "Cascaded GLRT Radar/Infrared Lidar Information Fusion Algorithm for Weak Target Detection." In Proceeding of 2021 International Conference on Wireless Communications, Networking and Applications, 48–57. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2456-9_6.

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AbstractTo deal with the problem of weak target detection, a cascaded generalized likelihood ratio test (GLRT) radar/infrared lidar heterogeneous information fusion algorithm is proposed in this paper. The algorithm makes full use of the target characteristics in microwave/infrared spectrum and the scanning efficiency of different sensors. According to the correlation of target position in the multi-sensor view field, the GLRT statistic derived from the radar measurements is compared with a lower threshold so as to generate initial candidate targets with high detection probability. Subsequently, the lidar is guided to scan the candidate regions and the final decision is made by GLRT detector to discriminate the false alarm. To get the best detection performance, the optimal detection parameters are obtained by nonlinear optimization for the cascaded GLRT Radar/Infrared lidar heterogeneous information fusion detection algorithm. Simulation results show that the cascaded GLRT heterogeneous information fusion detector comprehensively utilizes the advantages of radar and infrared lidar sensors in detection efficiency and performance, which effectively improves the detection distance upon radar weak targets within the allowable time.
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Echard, Jim D. "Detection in Noise." In Principles of Modern Radar, 253–80. Boston, MA: Springer US, 1987. http://dx.doi.org/10.1007/978-1-4613-1971-9_9.

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Mahafza, Bassem R. "Target Detection." In Handbook of Radar Signal Analysis, 279–314. Boca Raton: Chapman and Hall/CRC, 2021. http://dx.doi.org/10.1201/9781315161402-8.

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Liu, Jun, Danilo Orlando, Chengpeng Hao, and Weijian Liu. "MIMO Radar Target Detection." In Adaptive Detection of Multichannel Signals Exploiting Persymmetry, 265–95. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003340232-14.

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Arnold, Steven. "Radar Detection of the." In The Patrick Moore Practical Astronomy Series, 275–87. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-54906-0_18.

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Wang, Xinyu, Yan Xu, Ming Li, Jiawei Han, and Li Li. "LFMCW Milimeter Radar Detection." In Lecture Notes in Electrical Engineering, 622–28. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-9423-3_78.

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Zhu, Z., and S. Haykin. "Radar Detection Using Array Processing." In Radar Array Processing, 3–46. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-77347-1_2.

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Conference papers on the topic "Radar Detection"

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Steinvall, Ove. "Performance of coherent and direct detection laser radars for hard target applications." In Coherent Laser Radar. Washington, D.C.: Optica Publishing Group, 1995. http://dx.doi.org/10.1364/clr.1995.tha1.

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The first laser range finder (1961) used direct detection and since then a great number of direct detection system have become operational. Work on coherent laser radars began after the discovery of the CO2 laser by Patel in 1964. Since then coherent laser radars have been developed for range finding, wind measurements, vibration sensing, obstacle avoidance and advanced imaging. There are however very few operational coherent laser radars probably due to complexity and high costs. The main advantages of coherent detection over direct detection systems are instantaneous Doppler and shot noise limited detection. Many of laser radar functions can also be realized with direct detection. The direct detection systems are in general simpler. Recent development of efficient short wavelength laser sources might change this in favor of coherent systems but it might also lead to efficient direct detection systems. In this talk we will investigate performance for hard target laser radars using either type of detection. System examples for range finding, target imaging and obstacle avoidance/terrain following will be analyzed. Important parameter variations beside the system parameters include target/background characteristics, atmospheric attenuation and turbulence.
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Ahmetzyanova, Alina, and El'vira Latypova. "RADAR DETECTION METHODS BIO OBJECTS." In CAD/EDA/SIMULATION IN MODERN ELECTRONICS 2019. Bryansk State Technical University, 2019. http://dx.doi.org/10.30987/conferencearticle_5e0282100af2e7.90674130.

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O'Connell, Barbara J. "Ice Hazard Radar." In SNAME 9th International Conference and Exhibition on Performance of Ships and Structures in Ice. SNAME, 2010. http://dx.doi.org/10.5957/icetech-2010-179.

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Ships transiting polar regions would benefit from a marine ice navigation radar that could help them differentiate between dangerous multi-year ice and thick first-year ice. Conventional marine radars are designed for target detection and avoidance. Enhanced marine radars provide a higher definition image of the ice that the vessel is transiting through and may help the user to identify certain ice features, but they cannot distinguish first year ice from old ice. This paper presents one approach for the automated identification of sea ice types by a marine radar using cross-polarization technology.
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Tieliang, Shang, Bao Xiuzeng, Ye Yihuang, Zhou Chi, and Pi Mingjia. "Sensitivity of two-frequency autodyne detection." In Coherent Laser Radar. Washington, D.C.: Optica Publishing Group, 1995. http://dx.doi.org/10.1364/clr.1995.me5.

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Heterodyne detection of laser radar signals is much more sensitive than other non-coherent method. The theory and technology of heterodyne detection are being well developed. In 1985, R. J. Keyes proposed the autodyne detection in a transmission-reception coherent laser radar system with a single-frequency laser.[1] Furhter theoretical and experimenatl efforts were made by D.U. Flukiger et al in visible region in 1987.[2] In 1989, Pi Mingjia proposed a new method of coherent laser radar detect ion, the two-frequency autodyne(TFAD) detection.[3]
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Blacknell, D. "Target detection in correlated clutter." In Radar Systems (RADAR 97). IEE, 1997. http://dx.doi.org/10.1049/cp:19971664.

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Chan, Kin Pui, and Dennis K. Killinger. "Enhanced Heterodyne Detection of 1 μm Nd:YAG Coherent Lidar using a 2-Dimensional Detector Array." In Coherent Laser Radar. Washington, D.C.: Optica Publishing Group, 1991. http://dx.doi.org/10.1364/clr.1991.tub1.

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Recently, there has been increased interest in the development of an all solid-state coherent lidar for remote wind sensing and the detection of windshears in front of aircraft. In the course of the development of a 1 μm Nd:YAG and a 2 μm Ho:YAG coherent Doppler lidar, we have experimentally measured that the effective receiver telescope aperture diameter may be reduced due to atmospheric turbulence effects for a near infrared coherent lidar operating near the ground.1 In addition, our Monte-Carlo computer simulations of the atmospheric turbulence effects have indicated that this limitation could be reduced by the usage of a 2-dimensional (2-D) heterodyne detector array.2 In this paper, we report the first experimental demonstration of enhanced heterodyne detection of a 1 μm Nd:YAG coherent Doppler lidar using a 2-D InGaAs multi-element heterodyne detector array.
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Sosulin, Yu G. "Multi-alternative k-stage radar detection." In Radar Systems (RADAR 97). IEE, 1997. http://dx.doi.org/10.1049/cp:19971774.

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Gould, D. M. "Forward scatter radar detection." In 2002 International Radar Conference (Radar 2002). IEE, 2002. http://dx.doi.org/10.1049/cp:20020244.

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Matthiesen, D. J. "Optimization of detection performance." In 2002 International Radar Conference (Radar 2002). IEE, 2002. http://dx.doi.org/10.1049/cp:20020289.

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Bruder, J. A. "Bird hazard detection with airport surveillance radar." In Radar Systems (RADAR 97). IEE, 1997. http://dx.doi.org/10.1049/cp:19971652.

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Reports on the topic "Radar Detection"

1

Forsyth, Charles P. Radar Detection of Marine Mammals. Fort Belvoir, VA: Defense Technical Information Center, September 2009. http://dx.doi.org/10.21236/ada531701.

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Forsyth, Charles P. Radar Detection of Marine Mammals. Fort Belvoir, VA: Defense Technical Information Center, September 2010. http://dx.doi.org/10.21236/ada541701.

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Cheadle, Nancy, Dennis Tackett, Robert Pierce, and Raymond de Lacaze. Automatic Detection of Radar Signature Defects,. Fort Belvoir, VA: Defense Technical Information Center, May 1999. http://dx.doi.org/10.21236/ada364069.

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Sargis, P. D., F. D. Lee, E. S. Fulkerson, B. J. McKinley, and W. D. Aimonetti. Ground-penetrating radar for buried mine detection. Office of Scientific and Technical Information (OSTI), April 1994. http://dx.doi.org/10.2172/10143033.

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Bickel, Douglas L. On Radar Resolution in Coherent Change Detection. Office of Scientific and Technical Information (OSTI), November 2015. http://dx.doi.org/10.2172/1227341.

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Pratt, Thomas G., and Robert D. Kossler. Polarization-Based Radar Detection in Sea Clutter. Fort Belvoir, VA: Defense Technical Information Center, February 2015. http://dx.doi.org/10.21236/ada613789.

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ELECTRO-OPTICAL SCIENCES INC IRVINGTON NY. Innovative Direct Detection Range-Doppler Laser Radar. Fort Belvoir, VA: Defense Technical Information Center, October 1993. http://dx.doi.org/10.21236/ada275619.

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Roy, S., R. S. Berkowitz, W. J. Graham, and D. Carlson. Applications of Subsurface Radar for Mine Detection. Fort Belvoir, VA: Defense Technical Information Center, December 1990. http://dx.doi.org/10.21236/ada234847.

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Murphy, David Patrick, and Matthew T. Calef. Automatic Change Detection in Synthetic Aperture Radar (SAR). Office of Scientific and Technical Information (OSTI), August 2017. http://dx.doi.org/10.2172/1375848.

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GEO-CENTERS INC NEWTON CENTRE MA. Remote Detection of Unexploded Ordnance-Ground Penetrating Radar. Fort Belvoir, VA: Defense Technical Information Center, February 1992. http://dx.doi.org/10.21236/ada253486.

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