Ground Moving Target Detection and Trajectory Reconstruction Methods for Multichannel Airborne Circular SAR

被引:18
作者
Ge, Beibei [1 ]
An, Daoxiang [1 ]
Chen, Leping [1 ]
Wang, Wu [2 ]
Feng, Dong [1 ]
Zhou, Zhimin [1 ]
机构
[1] Natl Univ Def Technol, Coll Elect Sci & Technol, Changsha 410073, Peoples R China
[2] China Aerodynam Res & Dev Ctr, High Speed Aerodynam Inst, Mianyang 621000, Sichuan, Peoples R China
基金
中国国家自然科学基金;
关键词
Clutter; Trajectory; Target tracking; Synthetic aperture radar; Radar tracking; Radar imaging; Signal to noise ratio; Circular synthetic aperture radar (CSAR); ground moving indication (GMTI); relaxation-based cyclic (RELAX); trajectory reconstruction; SYNTHETIC-APERTURE RADAR; PARAMETER-ESTIMATION; SINGLE; TRACKING;
D O I
10.1109/TAES.2022.3141332
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
Synthetic aperture radar ground moving target indication (SAR-GMTI) is an attractive mode for radar system to obtain high-resolution regional images and detection of moving targets simultaneously. Moreover, the 360 degrees observation capability of circular SAR (CSAR) makes it possible for moving target trajectory reconstruction. In order to address the problem that slow-moving targets, which are buried in strong stationary ground clutter, are difficult to be detected, a framework of multichannel SAR-GMTI is presented in this article. For ground moving target detection in the presence of stationary clutter, the proposed method first adopts clutter suppression interferometry and relaxation-based cyclic algorithm to suppress clutterand retrieve parameters (e.g., radial velocity and Doppler information). Then, to further reduce the false alarm rate, multiple moving target tracking algorithm is performed in range-Doppler domain. Finally, the moving target trajectory is reconstructed by using the proposed two-stage parameter estimation method based on Doppler characteristic and CSAR geometry, and the mathematical analysis of this method is performed. The proposed method is robust and insensitive to the signal-to-noise ratio. It does not rely on priori road information, so it has wide applicability, especially in military application. In addition, the framework is performed in echo domain and independent of imaging processing. The experimental results on simulated data are presented to evaluate the estimation accuracy of the proposed method, and the real data processing results are provided to demonstrate the validity and feasibility of the proposed method.
引用
收藏
页码:2900 / 2915
页数:16
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