Fractional-delay Clutter Estimation for Passive Radar Based on Compressive Sensing

被引：0
|
作者：
Yang P. [1 ,2 ,3 ]
Lu X. [1 ,2 ]
Chai Z. [1 ,2 ,3 ]
Zhang D. [1 ,2 ,3 ]
Yue Q. [1 ,2 ,3 ]
Yang J. [1 ,2 ,3 ]
机构：
[1] Institute of Electronics, Chinese Academy of Sciences, Beijing
[2] National Key Laboratory of Science and Technology on Microwave Imaging, Beijing
[3] University of Chinese Academy of Sciences, Beijing
来源：
Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology | 2017年 / 39卷 / 11期
关键词：
Compressive Sensing (CS); Fractional-delay; Passive radar; PN sequence; Reference signal; Signal-Clutter-Ratio (SCR);
D O I：
10.11999/JEIT170079
中图分类号：
学科分类号：
摘要：
Signal-Clutter-Ratio (SCR) in reference channel is an important parameter for the evaluation of integration loss of passive radar. When PN sequence in the Digital Terrestrial Television Broadcast (DTTB) illuminator is utilized for SCR estimation, there will be the problem of fractional-delay received signal relative to local PN sequence, which leads to a severe deviation of SCR estimation. For this problem, a novel algorithm based on compressive sensing is proposed by exploiting the sparsity of signal in delay dimension. Simulation demonstrates that accurate estimation of delay and strength for signals of different strength can be obtained by the proposed algorithm, which ensures the accuracy of SCR estimation. The processing of experimental data shows that the whole SCR in the received data is relatively high and the integration loss is trivial, about 0.5 dB. In addition, SCR decreases with the length of baseline, which leads to the increase of integration loss. © 2017, Science Press. All right reserved.
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页码：2716 / 2723
页数：7
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