An Efficient Approach for Coherent Integration Detection of High-Speed Maneuvering Targets With Arbitrary-Order Doppler Frequency Migrations

被引:1
|
作者
Wan, Jun [1 ,2 ]
Kang, Xiaohua [1 ,2 ]
Tan, Xiaoheng [1 ,2 ]
Li, Dong [1 ,2 ]
Chen, Zhanye [1 ,2 ]
Liu, Hongqing [3 ]
机构
[1] Chongqing Univ, Chongqing Key Lab Space Informat Network & Intell, Chongqing 400044, Peoples R China
[2] Chongqing Univ, Sch Microelectron & Commun Engn, Chongqing 400044, Peoples R China
[3] Chongqing Univ Posts & Telecommun, Chongqing Key Lab Mobile Commun Technol, Chongqing 400065, Peoples R China
基金
中国国家自然科学基金;
关键词
Doppler effect; Computational efficiency; Time-frequency analysis; Radon; Mathematical models; Fourier transforms; Signal to noise ratio; MOTION PARAMETER-ESTIMATION; RADON-FOURIER TRANSFORM; ESTIMATION ALGORITHM; WEAK TARGET; SYSTEM;
D O I
10.1109/TAES.2023.3276852
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
In radar detection applications, high-speed maneuvering targets (HSMTs) are commonly encountered. Given the range cell migration (RCM) and arbitrary-order Doppler frequency migrations (DFMs) induced by the complex relative motions between the HSMT and radar, they usually present a great challenge for target detection. In addition, the complex Doppler ambiguity will further aggravate the difficulty in focusing on HSMT. To address these issues, an efficient approach for coherent integration detection of HSMTs is proposed. First, inspired by the symmetrical feature of range frequency, a new range frequency reversal transform is introduced to correct complex arbitrary-order DFMs simultaneously. After that, by exploiting the advantage of range-azimuth joint processing, a modified two-dimensional scaled Fourier transform is developed to remove the residual RCM, and a well-focused result is thus achieved. Furthermore, a discrimination procedure is proposed to remove the spurious peak for cross terms of targets with the same parameters. The proposed method has an extremely low computational cost and does not need to know the target motion order a priori because the operations of multidimensional search and parameter estimation are avoided. It also handles complex arbitrary-order DFMs, blind speed sidelobe, and complex Doppler center blur and spectrum ambiguity. The experiments using real data also validate the performance of the proposed method.
引用
收藏
页码:6729 / 6748
页数:20
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