Target parameters estimation of FSR net based on crossing times

被引：1
|
作者：
Zheng Y. [1 ]
Ai X. [1 ]
Xu Z. [1 ]
Zhao F. [1 ]
Yang Y. [1 ]
机构：
[1] School of Electronic Science, National University of Defense Technology, Changsha
来源：
Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics | 2023年 / 45卷 / 05期
关键词：
crossing time; error analysis; forward scatter radar (FSR); parameter estimation;
D O I：
10.12305/j.issn.1001-506X.2023.05.08
中图分类号：
学科分类号：
摘要：
The passive radar based on global navigation satellite system (GNSS) is a hot spot in the current radar field. Firstly, a forward scatter radar (FSR) net model with GNSS as the radiation source is proposed. The estimation technique of the kinematic parameters of a moving target using only the time of target crossing baselines is realized, and the minimum network configuration is proved theoretically. Then, the accuracy of parameter estimation is derived, and the influence of crossing time error, station location error, transmitting/ receiver layout, and target height on the accuracy of target parameter estimation are analyzed by simulation. The simulation results show that considering the actual parameter measurement error and station location error conditions, the target position estimation error can reach the order of 100 meters, which can meet the early warning requirements. The obtained conclusions can provide a reference for the construction of the FSR net in the mode of sky transmitting and earth receiving. © 2023 Chinese Institute of Electronics. All rights reserved.
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页码：1323 / 1332
页数：9
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共 31 条
  • [1] KOCH V, WESTPHAL R., New approach to a multistatic pas-sive radar sensor for air/space defense, IEEE Aerospace and Electronic Systems Magazine, 10, 11, pp. 24-32, (1995)
  • [2] MA H, ANTONTOU M, STOVE A G, Et al., Maritime moving target localization using passive GNSS-based multistatic radar, IEEE Trans, on Geoscience and Remote Sensing, 56, 8, pp. 4808-4819, (2018)
  • [3] ANTONIOU M, STOVE A G, TZAGKAS D, Et al., Marine target localization with passive GNSS-based multistatic radar: experimental results, Proc. of the International Conference on Radar, (2018)
  • [4] MA H, ANTONIOU M, PASTINA D, Et al., Maritime moving target indication using passive GNSS-based bistatic radar, IEEE Trans, on Aerospace and Electronic Systems, 54, 1, pp. 115-130, (2018)
  • [5] CLEMENTE C, SORAGHAN J J., GNSS-based passive bistatic radar for micro-Doppier analysis of helicopter rotor blades[j], IEEE Trans, on Aerospace and Electronic Systems, 50, 1, pp. 491-500, (2014)
  • [6] SANTI F, PIERALICE F, PASTINA D., Joint detection and localization of vessels at sea with a GNSS-based multistatic radar, IEEE Trans, on Geoscience and Remote Sensing, 57, 8, pp. 5894-5913, (2019)
  • [7] SANTI F, PASTINA D, BUCCIARELLI M., Experimental demonstration of ship target detection in GNSS-based passive radar combining target motion compensation and track-before-de-tect strategies, Sensors, 20, 3, (2020)
  • [8] ILIOUDIS C V, CAO J L, THEODOROU I, Et al., GNSS based passive radar for UAV monitoring, Proc. of the IEEE Radar Conference, (2019)
  • [9] GOMEZ-DEL-HOYO P, JARABO-AMORES M, MATA-MOYAD, Et al., First approach on ground target detection with GPS based passive radar- experimental results, Proc. of the Signal Processing Symposium, pp. 71-75, (2019)
  • [10] HU C, LIU C J, WANG R, Et al., Detection and SISAR imaging of aircrafts using GNSS forward scatter radar: signal modeling and experimental validation, IEEE Trans, on Aerospace and Electronic Systems, 53, 4, pp. 2077-2093, (2017)
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