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Relevant bibliographies by topics / Multi-static radar

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Academic literature on the topic 'Multi-static radar'

Author: Grafiati

Published: 4 June 2021

Last updated: 10 February 2022

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Journal articles on the topic "Multi-static radar"

1

Yan, Kun, Shiyou Wu, and Guangyou Fang. "Detection of Quasi-Static Trapped Human Being Using Mono-Static UWB Life-Detection Radar." Applied Sciences 11, no. 7 (April 1, 2021): 3129. http://dx.doi.org/10.3390/app11073129.

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In practical situations such as hostage rescue, earthquake and other similar events, the ultra-wideband (UWB) life-detection radar echo response from the respiration motion of the trapped person is always quasi-/non-periodic in respiration frequency or very weak in respiration amplitude, which can be called quasi-static vital sign. Although it is an extremely difficult task, considering the economic cost, the detection ability of the traditional UWB life-detection radars with only a pair of transceiver antennas is desired to be enhanced for locating the quasi-static trapped human being. This article proposes two different detection methods for quasi-static trapped human beings through the single/multiple observation points, which corresponds to the single-/multi-station radar operating mode, respectively. Proof-of-principle experiments were carried out by our designed radar prototypes, validating the effectiveness of the proposed methods.

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Yan, Kun, Shiyou Wu, Shengbo Ye, and Guangyou Fang. "A Novel Wireless-Netted UWB Life-Detection Radar System for Quasi-Static Person Sensing." Applied Sciences 11, no. 1 (January 4, 2021): 424. http://dx.doi.org/10.3390/app11010424.

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In actual life-detection radar applications, a quasi-static person with weak respiration is difficult to find when relying on the echoes from a single fixed observation point. To effectively sense the weak respiration of a quasi-static person in complex through-wall and through-floor conditions, this paper proposes a novel multi-observation point detection system composed of multiple Golay complementary coded radars in which communication and synchronization are carried out wirelessly. The collaboration structure and Golay complementary coded transmitter improve the signal to noise ratio (SNR). Proof-of-principle experiments are carried out with our designed radar prototype and prove that the radar system can detect a respiring target 21 m behind a brick wall or a respiring target behind two levels of reinforced concrete floors, validating the effectiveness of a multi-observation point working mode for the efficient detection of weak human respiration.

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Ilcev, Dimov Stojce. "Introduction to Coastal HF Maritime Surveillance Radars." Polish Maritime Research 26, no. 3 (September 1, 2019): 153–62. http://dx.doi.org/10.2478/pomr-2019-0056.

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Abstract This paper presents the main technical characteristics and working performances of coastal maritime surveillance radars, such as low-power High-Frequency Surface Wave Radars (HFSWR) and Over the Horizon Radars (OTHR). These radars have demonstrated to be a cost-effective long-range early-warning sensor for ship detection and tracking in coastal waters, sea channels and passages. In this work, multi-target tracking and data fusion techniques are applied to live-recorded data from a network of oceanographic HFSWR stations installed in Jindalee Operational Radar Network (JORN), Wellen Radar (WERA) in Ligurian Sea (Mediterranean Sea), CODAR Ocean Sebsorsin and in the German Bight (North Sea). The coastal Imaging Sciences Research (ISR) HFSWR system, Multi-static ISR HF Radar, Ship Classification using Multi-Frequency HF Radar, Coastal HF radar surveillance of pirate boats and Different projects of coastal HF radars for vessels detecting are described. Ship reports from the Automatic Identification System (AIS), recorded from both coastal and satellite Land Earth Stations (LES) are exploited as ground truth information and a methodology is applied to classify the fused tracks and to estimate system performances. Experimental results for all above solutions are presented and discussed, together with an outline for future integration and infrastructures.

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Seker, Ilgin, and Marco Lavalle. "Tomographic Performance of Multi-Static Radar Formations: Theory and Simulations." Remote Sensing 13, no. 4 (February 17, 2021): 737. http://dx.doi.org/10.3390/rs13040737.

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3D imaging of Earth’s surface layers (such as canopy, sub-surface, or ice) requires not just the penetration of radar signal into the medium, but also the ability to discriminate multiple scatterers within a slant-range and azimuth resolution cell. The latter requires having multiple radar channels distributed in across-track direction. Here, we describe the theory of multi-static radar tomography with emphasis on resolution, SNR, sidelobes, and nearest ambiguity location vs. platform distribution, observation geometry, and different multi-static modes. Signal-based 1D and 2D simulations are developed and results for various observation geometries, target distributions, acquisition modes, and radar parameters are shown and compared with the theory. Pros and cons of multi-static modes are compared and discussed. Results for various platform formations are shown, revealing that unequal spacing is useful to suppress ambiguities at the cost of increased multiplicative noise. In particular, we demonstrate that the multiple-input multiple-output (MIMO) mode, in combination with nonlinear spacing, outperforms the other modes in terms of ambiguity, sidelobe levels, and noise suppression. These findings are key to guiding the design of tomographic SAR formations for accurate surface topography and vegetation mapping.

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Stober, Gunter, Jorge L. Chau, Juha Vierinen, Christoph Jacobi, and Sven Wilhelm. "Retrieving horizontally resolved wind fields using multi-static meteor radar observations." Atmospheric Measurement Techniques 11, no. 8 (August 27, 2018): 4891–907. http://dx.doi.org/10.5194/amt-11-4891-2018.

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Abstract. Recently, the MMARIA (Multi-static, Multi-frequency Agile Radar for Investigations of the Atmosphere) concept of a multi-static VHF meteor radar network to derive horizontally resolved wind fields in the mesosphere–lower thermosphere was introduced. Here we present preliminary results of the MMARIA network above Eastern Germany using two transmitters located at Juliusruh and Collm, and five receiving links: two monostatic and three multi-static. The observations are complemented during a one-week campaign, with a couple of addition continuous-wave coded transmitters, making a total of seven multi-static links. In order to access the kinematic properties of non-homogenous wind fields, we developed a wind retrieval algorithm that applies regularization to determine the non-linear wind field in the altitude range of 82–98 km. The potential of such observations and the new retrieval to investigate gravity waves with horizontal scales between 50–200 km is presented and discussed. In particular, it is demonstrated that horizonal wavelength spectra of gravity waves can be obtained from the new data set.

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Chalise, Batu K., and Braham Himed. "GLRT Detector in Single Frequency Multi-static Passive Radar Systems." Signal Processing 142 (January 2018): 504–12. http://dx.doi.org/10.1016/j.sigpro.2017.07.001.

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Lü, Min, Jianxin Yi, Xianrong Wan, and Yuqi Liu. "Experimental research of drone monitoring using multi-static passive radar." Journal of Engineering 2019, no. 20 (October 1, 2019): 6795–98. http://dx.doi.org/10.1049/joe.2019.0580.

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Liuv, Jiye, and Xihong Chen. "Time synchronisation for multi-static radar via microwave and troposcatter." Journal of Engineering 2018, no. 1 (January 1, 2018): 39–41. http://dx.doi.org/10.1049/joe.2017.0353.

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Nilavalan, R., A. Gbedemah, I. J. Craddock, X. Li, and S. C. Hagness. "Numerical investigation of breast tumour detection using multi-static radar." Electronics Letters 39, no. 25 (2003): 1787. http://dx.doi.org/10.1049/el:20031183.

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Yang, Yichuan, Tianxian Zhang, Wei Yi, Lingjiang Kong, Xiaolong Li, and Xiaobo Yang. "Multi‐static radar power allocation for multi‐stage stochastic task of missile interception." IET Radar, Sonar & Navigation 12, no. 5 (March 2, 2018): 540–48. http://dx.doi.org/10.1049/iet-rsn.2017.0534.

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Dissertations / Theses on the topic "Multi-static radar"

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Casbeer, David W. "Decentralized Estimation Using Information Consensus Filters with a Multi-static UAV Radar Tracking System." Diss., CLICK HERE for online access, 2009. http://contentdm.lib.byu.edu/ETD/image/etd2779.pdf.

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Thornton, Matthew. "Frequency Partition Techniques of FMCW Radar Imaging Systems for MIMO Multi-Static Array Modality." International Foundation for Telemetering, 2016. http://hdl.handle.net/10150/624193.

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The modalities of many imaging applications have been advancing toward the MIMO format for improved efficiency. This paper presents an approach to the implementation of the MIMO operating modality for FMCW radar imaging systems with multi-element data-acquisition arrays. The unique characteristics of the software-defined step-frequency FMCW imaging systems enable the simple and precise orthogonalization procedure through direct spectral partitioning. This paper includes the description of the data-acquisition hardware of an eighttransceiver radar imaging system, imaging formation algorithms, MIMO implementation, and results of laboratory experiments.

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Wilcher, John S. "Algorithms and performance optimization for distributed radar automatic target recognition." Diss., Georgia Institute of Technology, 2015. http://hdl.handle.net/1853/53533.

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This thesis focuses upon automatic target recognition (ATR) with radar sensors. Recent advancements in ATR have included the processing of target signatures from multiple, spatially-diverse perspectives. The advantage of multiple perspectives in target classification results from the angular sensitivity of reflected radar transmissions. By viewing the target at different angles, the classifier has a better opportunity to distinguish between target classes. This dissertation extends recent advances in multi-perspective target classification by: 1) leveraging bistatic target reflectivity signatures observed from multiple, spatially-diverse radar sensors; and, 2) employing a statistical distance measure to identify radar sensor locations yielding improved classification rates. The algorithms provided in this thesis use high resolution range (HRR) profiles – formed by each participating radar sensor – as input to a multi-sensor classification algorithm derived using the fundamentals of statistical signal processing. Improvements to target classification rates are demonstrated for multiple configurations of transmitter, receiver, and target locations. These improvements are shown to emanate from the multi-static characteristics of a target class’ range profile and not merely from non-coherent gain. The significance of dominant scatterer reflections is revealed in both classification performance and the “statistical distance” between target classes. Numerous simulations have been performed to interrogate the robustness of the derived classifier. Errors in target pose angle and the inclusion of camouflage, concealment, and deception (CCD) effects are considered in assessing the validity of the classifier. Consideration of different transmitter and receiver combinations and low signal-to-noise ratios are analyzed in the context of deterministic, Gaussian, and uniform target pose uncertainty models. Performance metrics demonstrate increases in classification rates of up to 30% for multiple-transmit, multiple-receive platform configurations when compared to multi-sensor monostatic configurations. A distance measure between probable target classes is derived using information theoretic techniques pioneered by Kullback and Leibler. The derived measure is shown to suggest radar sensor placements yielding better target classification rates. The predicted placements consider two-platform and three-platform configurations in a single-transmit, multiple-receive environment. Significant improvements in classification rates are observed when compared to ad-hoc sensor placement. In one study, platform placements identified by the distance measure algorithm are shown to produce classification rates exceeding 98.8% of all possible platform placements.

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Sule, Suki Dauda. "An evaluation of the performance of multi-static handheld ground penetrating radar using full wave inversion for landmine detection." Thesis, University of Hull, 2018. http://hydra.hull.ac.uk/resources/hull:16567.

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This thesis presents an empirical study comparing the ability of multi-static and bi-static, handheld, ground penetrating radar (GPR) systems, using full wave inversion (FWI), to determine the properties of buried anti-personnel (AP) landmines. A major problem associated with humanitarian demining is the occurrence of many false positives during clearance operations. Therefore, a reduction of the false alarm rate (FAR) and/or increasing the probability of detection (POD) is a key research and technical objective. Sensor fusion has emerged as a technique that promises to significantly enhance landmine detection. This study considers a handheld, combined metal detector (MD) and GPR device, and quantifies the advantages of the use of antenna arrays. During demining operations with such systems, possible targets are detected using the MD and further categorised using the GPR, possibly excluding false positives. A system using FWI imaging techniques to estimate the subsurface parameters is considered in this work. A previous study of multi-static GPR FWI used simplistic, 2D far-field propagation models, despite the targets being 3D and within the near field. This novel study uses full 3D electromagnetic (EM) wave simulation of the antenna arrays and propagation through the air and ground. Full EM simulation allows the sensitivity of radio measurements to landmine characteristics to be determined. The number and configuration of antenna elements are very important and must be optimised, contrary to the 2D sensitivity studies in (Watson, Lionheart 2014, Watson 2016) which conclude that the degree (number of elements) of the multi-static system is not critical. A novel sensitivity analysis for tilted handheld GPR antennas is used to demonstrate the positive impact of tilted antenna orientation on detection performance. A time domain GPR and A-scan data, consistent with a commercial handheld system, the MINEHOUND, is used throughout the simulated experiments which are based on synthetic GPR measurements. Finally, this thesis introduces a novel method of optimising the FWI solution through feature extraction or estimation of the internal air void typically present in pressure activated mines, to distinguish mines from non-mine targets and reduce the incidence of false positives.

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Book chapters on the topic "Multi-static radar"

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Stojanović, Ivana, Müjdat Çetin, and W. Clem Karl. "Sparsity and Compressed Sensing in Mono-Static and Multi-Static Radar Imaging." In Compressed Sensing & Sparse Filtering, 395–421. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38398-4_13.

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Chaudhuri, Sujeet K., and Wolfgang-M. Boerner. "A Polarimetric Model for Multi-Path Imaging/Identification Analysis Using Poly-Static (Bi-Static Plus Mono-Static) Scattering Matrix Data." In Direct and Inverse Methods in Radar Polarimetry, 707–38. Dordrecht: Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-010-9243-2_26.

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Wang, Dan, Jia Liang, Qun Zhang, and Feng Zhu. "Task Allocation for Multi-target ISAR Imaging in Bi-Static Radar Network." In Lecture Notes in Electrical Engineering, 1656–65. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-13-9409-6_199.

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Yang, Jia-Xing, Xiao-Feng Gong, Hui Li, You-Gen Xu, and Zhi-Wen Liu. "Using Coupled Multilinear Rank-(L, L, 1) Block Term Decomposition in Multi-Static-Multi-Pulse MIMO Radar to Localize Targets." In Advances in Neural Networks – ISNN 2019, 565–74. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-22808-8_56.

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"Lesson learnt from NATO SET-196 RTG on 'multichannel/multi-static radar imaging of non-cooperative targets'." In Multidimensional Radar Imaging, 325–31. Institution of Engineering and Technology, 2019. http://dx.doi.org/10.1049/sbra527e_ch11.

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Yim, D., and S. Cho. "An equidistance multi-human detection algorithm based on noise level using mono-static IR-UWB radar system." In Future Communication, Information and Computer Science, 131–33. CRC Press, 2015. http://dx.doi.org/10.1201/b18049-31.

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Conference papers on the topic "Multi-static radar"

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Stevens, Malcolm, David Pompairac, and Nicolas Millet. "Multi-Static Primary Surveillance Radar assessment." In 2014 International Radar Conference (Radar). IEEE, 2014. http://dx.doi.org/10.1109/radar.2014.7060357.

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Daniel, L. Y., M. S. Gashinova, and M. Cherniakov. "Target observability improvement in multi-static maritime forward scatter radar." In 2014 International Radar Conference (Radar). IEEE, 2014. http://dx.doi.org/10.1109/radar.2014.7060335.

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Mathews, Zenon, Luca Quiriconi, Urs Boniger, Christof Schupbach, and Peter Weber. "Learning multi-static contextual target signatures." In 2017 IEEE Radar Conference (RadarConf17). IEEE, 2017. http://dx.doi.org/10.1109/radar.2017.7944457.

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Carson, S., D. Kilfoyle, M. Potter, and J. Vance. "A passive, multi-static radar system." In IET International Conference on Radar Systems 2007. IEE, 2007. http://dx.doi.org/10.1049/cp:20070497.

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Beale, D. A. R. "Bistatic RCS tools for the assessment of multi-static radar." In 2002 International Radar Conference (Radar 2002). IEE, 2002. http://dx.doi.org/10.1049/cp:20020243.

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Lloyd, D. "UWB multi-static SAR with image stackng for land mine detection." In 2002 International Radar Conference (Radar 2002). IEE, 2002. http://dx.doi.org/10.1049/cp:20020277.

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Pak, Sean, Batu K. Chalise, and Braham Himed. "Target Localization in Multi-static Passive Radar Systems with Artificial Neural Networks." In 2019 International Radar Conference (RADAR). IEEE, 2019. http://dx.doi.org/10.1109/radar41533.2019.171252.

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Blacknell, David, Darren Muff, Matt Nottingham, and Claire Stevenson. "Radar Automatic Target Recognition Based on Disjoint Multi-Static K-Space Coverage." In 2018 International Conference on Radar (RADAR). IEEE, 2018. http://dx.doi.org/10.1109/radar.2018.8557271.

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Zhang, Xudong, Fangzhou Wang, Hongbin Li, and Braham Himed. "Covariance-Free TDOA/FDOA-Based Moving Target Localization for Multi-Static Radar." In 2020 IEEE International Radar Conference (RADAR). IEEE, 2020. http://dx.doi.org/10.1109/radar42522.2020.9114799.

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Mittermayer, Josef, Gerhard Krieger, and Alberto Moreira. "Concepts and Applications of Multi-static MirrorSAR Systems." In 2020 IEEE Radar Conference (RadarConf20). IEEE, 2020. http://dx.doi.org/10.1109/radarconf2043947.2020.9266479.

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Reports on the topic "Multi-static radar"

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Glenn, Scott M., Donald E. Barrick, and William J. Browning. Development and Demonstration of Shiptracking Capabilities for a Dual-Use Multi-Static Long-Range HF Radar Network. Fort Belvoir, VA: Defense Technical Information Center, September 2003. http://dx.doi.org/10.21236/ada630095.

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