Echo Simulation method of space micro-motion multi-target bistatic radar

被引:0
|
作者
Zhu, Yiqi [1 ]
Ai, Xiaofeng [1 ]
Xu, Zhiming [1 ]
Zhao, Feng [1 ]
Pan, Xiaoyi [1 ]
机构
[1] College of Electronic Science and Technology, National University of Defense Technology, Changsha
来源
Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics | 2024年 / 46卷 / 12期
关键词
bistatic radar; echo Simulation; micro-motion; multi-target;
D O I
10.12305/j.issn.1001-506X.2024.12.08
中图分类号
学科分类号
摘要
Dynamic echo data is the basis for studying the detection and recognition of space micro-motion multi-target. The micro-motion multi-target echo of bistatic radar Simulation method based on the scattering center model is studied. Firstly, this method establishes the corresponding Observation coordinate System for each space micro-motion target. Then, the positions of the target scattering centers in the Observation coordinate System are solved according to the micro-motion model, and the scattering center coordinates in the Observation coordinate System are transformed into the reference coordinate System. Finally, the Variation of micro-motion ranges are solved for the echo Simulation combined with bistatic visual conditions. The result of dynamic Simulation and electromagnetic calculation Simulation validates the effectiveness of the proposed method, which can be applied in the research of space micro-motion multi-target imaging, feature extraction, and other fields. © 2024 Chinese Institute of Electronics. All rights reserved.
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页码:4000 / 4009
页数:9
相关论文
共 31 条
  • [1] WANG S L, XU Z, DONG W, Et al., A scheme of Polarimetrie super re.solution for multi-target detection and localization, IEEE Signal Processing Letters, 28, pp. 439-443, (2021)
  • [2] ZHAO J, ZHANG M, WANG X., ISAR imaging algorithm of multiple targets with complex motions based on the fractional tap length keystone transform, IEEE Trans, on Aerospace and Electronic Systems, 54, 1, pp. 64-76, (2017)
  • [3] BAI X R, ZHOU F, BAO Z., High-resolution 3-D imaging of group rotating targets, IEEE Trans, on Aerospace and Electronic Systems, 50, 2, pp. 1066-1077, (2014)
  • [4] GAO H W, XIE L G, WEN S L, Et al., Mlcro-Doppler slgnature extraction from ballistic target with micro-motions [ J], IEEE Trans, on Aerospace and Electronic Systems, 46, 4, pp. 1969-1982, (2010)
  • [5] TIAN X D, BAI X R, XUE R H, Et al., Fusion recognltion of Space targets with micromotion, IEEE Trans, on Aerospace and Electronic Systems, 58, 4, pp. 3116-3125, (2022)
  • [6] CHOI 1, JUNG J H, KIM K T, Et al., Efficient 3DFV for improved discrimination for ballistic warhead, Electronics Letters, 54, 25, pp. 1452-1454, (2018)
  • [7] DU L, WANG B S, LI Y B, Et al., Robust Classification scheine for airplane targets with low resolution radar based on EMI> CLEAN feature extraction method, IEEE Sensors Journal, 13, 12, pp. 4648-4662, (2013)
  • [8] BAI X R, ZHOU F, XING M D, Et al., A novel method for lma-ging of group targets moving in a formation, IEEE Trans, on Geoscience and Remote Sensing, 50, 1, pp. 221-231, (2011)
  • [9] GUO K Y, LI Q, SHENG X Q, Et al., A precise recognltion method of missile warhead and decoy in multi-target scene, Journal of Electromagnetic Waves and Applications, 24, 5, pp. 641-652, (2010)
  • [10] JIANGL, ZHANG H J, YU L, Et al., A data-driven hlgh-resolution time-frequency distribution, IEEE Signal Processing Letters, 29, pp. 1512-1516, (2022)