Maneuvering Target Detection Based on Subspace Subaperture Joint Coherent Integration

Remote Sensing

Dawei Song¹  Weijia Chen²  Haihong Tao²  Langxu Zhao² 

[1] National Key Laboratory of Science and Technology on Space Microwave, China Academy of Space Technology, Xi’an 710100, China;National Laboratory of Radar Signal Processing, Xidian University, Xi’an 710071, China;

关键词: coherent integration;    Doppler frequency migration;    range cell migration;    target detection;   

DOI  :  10.3390/rs13101948

来源: DOAJ

【 摘 要 】

Range cell migration and Doppler frequency migration induced by the target maneuverability are two difficulties of target signal enhancement and radar detection performance. In order to resolve them, a novel subaperture joint coherent integration (SJCI) algorithm is proposed in this article, which consists of three stages. Firstly, it divides the target signal into several subapertures, in which the Doppler frequency dispersions can be neglected. Afterward, coherent integration within each subaperture is implemented via scaled Fourier transform. Finally, correcting the Doppler frequency shifts and phase differences via axis rotation and phase compensation technology, the joint coherent integration among the subapertures can be achieved effectively. Based on the SJCI algorithm, an upgrade algorithm named subspace SJCI (SSJCI) is presented. Through acceleration space division and subspace translation, the SSJCI algorithm extends the subaperture time and optimizes the computation complexity significantly. Theoretical analyses and performance comparisons demonstrate that the SSJCI algorithm can accomplish a good trade-off among signal-to-noise ratio gain, detection capability, resolution, and computation complexity. In addition, the results of the numerical experiments further verify the effectiveness of the proposed algorithm.

【 授权许可】

Unknown