Radar fast long-time coherent integration via TR-SKT and robust sparse FRFT  

作　　者：CHEN Xiaolong GUAN Jian ZHENG Jibin ZHANG Yue YU Xiaohan 

机构地区：[1]Naval Aviation University,Yantai 264001,China [2]National Laboratory of Radar Signal Processing,Xidian University,Xi’an 710071,China [3]School of Electronic and Communication Engineering,Sun Yat-Sen University,Guangzhou 510000,China [4]Unit 91977 of the PLA,Beijing 100036,China

出　　处：《Journal of Systems Engineering and Electronics》2023年第5期1116-1129,共14页系统工程与电子技术（英文版）

基　　金：supported by the National Natural Science Foundation of China(62222120,61871391,U1933135);Shandong Provincial Natural Science Foundation(ZR2021YQ43).

摘　　要：Long-time coherent integration(LTCI)is an effective way for radar maneuvering target detection,but it faces the problem of a large number of search parameters and large amount of calculation.Realizing the simultaneous compensation of the range and Doppler migrations in complex clutter back-ground,and at the same time improving the calculation efficiency has become an urgent problem to be solved.The sparse transformation theory is introduced to LTCI in this paper,and a non-parametric searching sparse LTCI(SLTCI)based maneuvering target detection method is proposed.This method performs time reversal(TR)and second-order Keystone transform(SKT)in the range frequency&slow-time data to complete high-order range walk compensation,and achieves the coherent integra-tion of maneuvering target across range and Doppler units via the robust sparse fractional Fourier transform(RSFRFT).It can compensate for the nonlinear range migration caused by high-order motion.S-band and X-band radar data measured in sea clutter background are used to verify the detection performance of the proposed method,which can achieve better detection performance of maneuvering targets with less computational burden compared with several popular integration methods.

关 键 词：radar maneuvering target detection sea clutter long-time coherent integration(LTCI) sparse transformation time reversal(TR) second-order Keystone transform(SKT) 

分 类 号：TN957.52[电子电信—信号与信息处理]