Radar High-Speed Target Coherent Detection Method Based on Modified Radon Inverse Fourier Transform

被引:1
|
作者
Xiong, Kai [1 ]
Zhao, Guanghui [1 ]
Shi, Guangming [1 ]
机构
[1] Xidian Univ, Sch Artificial Intelligence, Xian 710071, Peoples R China
关键词
Coherence; Radar; Radar detection; Time-frequency analysis; Fourier transforms; Radon; Signal to noise ratio; Coherent detection; high-speed target; modified radon inverse Fourier transform (MRIFT); radar; MANEUVERING TARGETS; KEYSTONE TRANSFORM; INTEGRATION; ALGORITHM; IMPLEMENTATION;
D O I
10.1109/TAES.2022.3193090
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
Within the long-time coherent integration (CI) in radar detection, the range walk effect inevitably impacts high-speed targets, which makes coherent detection methods invalid. To address this problem, a coherent detection method, a modified radon inverse Fourier transform (MRIFT), was developed in this article. The MRIFT can estimate velocity via single parameter searching and achieve the target's CI in the 2-D frequency domain using the inverse Fourier transform. Compared with the traditional coherent detection methods, the MRIFT achieved great detection performance and range and velocity estimation performance and averted the blind speed side lobe effect at a lower computational cost. Simulations demonstrate the effectiveness and efficiency of the proposed MRIFT.
引用
收藏
页码:950 / 962
页数:13
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