ACTA AERONAUTICAET ASTRONAUTICA SINICA >
Optimized Sensing Matrix Design of Filter Structure Based Compressed Sensing Radar
Received date: 2012-03-15
Revised date: 2012-12-10
Online published: 2013-04-23
Supported by
National Natural Science Foundation of China (61071163, 61201367, 61071164, 61271327); Natural Science Foundation of Jiangsu Province (BK2012382); China Postdoctoral Science Foundation (20100481143); Jiangsu Planned Projects for Postdoctoral Research Funds (1109093C); Fundamental Research Funds for the Central Universities (NS2012020); A Project Funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions *Corresponding author. Tel.: 025-84892410 E-mail: zhangjd@nuaa.edu.cn
The sparse scene recovery performance of a compressed sensing radar (CSR) requires that the cross correlations between the atoms of the sensing matrix be as small as possible. Based on this thought, a CSR optimal sensing matrix design system is proposed. According to the information of the radar system task and target scene, it can optimize the transmitted waveform and measurement matrix adaptively for the purpose of reducing the coherence of the sensing matrix to improve the system performance. The algorithms for optimizing the transmitted waveform and measurement matrix separately and jointly are presented. Simulation results demonstrate that the proposed methods can effectively improve scene recovery accuracy.
ZHANG Jindong , ZHANG Gong , PAN Hui , BEN De . Optimized Sensing Matrix Design of Filter Structure Based Compressed Sensing Radar[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2013 , 34(4) : 864 -872 . DOI: 10.7527/S1000-6893.2013.0147
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