A Fast Coherent Integration Algorithm for Maneuvering Target Detection

被引：4
作者：
Wang, Hui [1 ,2 ]
Yi, Jianxin [1 ,2 ]
Wan, Xianrong [1 ,2 ]
机构：
[1] Wuhan Univ, Sch Elect Informat, Wuhan 430072, Peoples R China
[2] Collaborat Innovat Ctr Geospatial Technol, Wuhan 430072, Peoples R China
来源：
IEEE SENSORS JOURNAL | 2019年 / 19卷 / 12期
基金：
国家重点研发计划; 中国国家自然科学基金;
关键词：
Maneuvering target detection; range migration; Doppler frequency migration; short-time Fourier transform; cubic phase function; RADON-FOURIER TRANSFORM; PARAMETERS;
D O I：
10.1109/JSEN.2019.2899455
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper investigates the coherent integration problem in the maneuvering target detection. We propose a new coherent integration algorithm based on the short-time Fourier transform (STFT) and the cubic phase function (CPF), i.e., STFT-CPF. First, the STFT is employed to construct a special compensation function for the linear range migration. Then, the CPF is applied to estimate the target's acceleration and jerk, thereby compensating the linear Doppler frequency migration and the quadratic Doppler frequency migration. After that, the coherent integration can be achieved by the FT. The proposed algorithm involves only 1-D search. It reaches a good balance between the computational cost and detection performance in a certain range of acceleration and jerk. Simulations and real data demonstrate the effectiveness of the proposed algorithm.
引用
收藏
页码：4560 / 4570
页数：11
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