High-speed Target ISAR Imaging via Compressed Sensing Based on Sparsity in Fractional Fourier Domain  

作　　者：LIU Jihong LI Xiang GAO Xunzhang ZHUANG Zhaowen 

机构地区：[1]School of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, China

出　　处：《Chinese Journal of Electronics》2013年第3期648-654,共7页电子学报（英文版）

基　　金：This work is supported by the National Science Fund for Distinguished Young Scholars of China （No.61025006） and National Natural Science Foundation of China （No.61171133）.

摘　　要：Compressed sensing （CS） provides great potential to reduce radar sampling rate while improve the imaging performance. In this paper, the application of CS to ISAR imaging of hlgh-speed space targets is introduced. Firstly, based on the analysis of the echo model of highspeed targets, we elucidate that the dechirped high-speed target echo is of sparsity in fractional Fourier domain. Then the Analog-to-information conversion （AIC） is used to take compressive measurements, following which the radar image can be recovered via nonlinear optimization. In particular, considering the non-cooperative characteristic of targets, an optimization search algorithm based on sparsity of the reconstructed range profiles is presented, so as to find the optimal transform order of fractional Fourier transform. Experiment results from both simulated data and measured data show the validity and superiority of the proposed imaging method.

关 键 词：ISAR imaging High-speed target Com- pressed sensing Fractional fourier transform Sparse dictionary. 

分 类 号：TN957.52[电子电信—信号与信息处理] O438[电子电信—信息与通信工程]