MIMO-SAR waveforms separation based on virtual polarization filter  被引量:4

MIMO-SAR waveforms separation based on virtual polarization filter

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作  者:MENG CangZhen XU Jia XIA Xiang-Gen LIU Feng LONG Teng MAO ErKe YANG Jian PENG YingNing 

机构地区:[1]Department of Electronic Engineering, Tsinghua University [2]Air force Early Warning Academy [3]School of Information and Electronics,Beijing Institute of Technology [4]Department of Electrical and Computer Engineering, University of Delaware

出  处:《Science China(Information Sciences)》2015年第4期21-32,共12页中国科学(信息科学)(英文版)

基  金:supported by National Natural Science Foundation of China (Grant No. 61271391);Project "111" of the Ministry of Education (MOE) of China;New Century Excellent Talents Supporting Plan of MOE of China (Grant No. NCET-13-0049);Outstanding Youth Teacher Training Plan of Beijing Institute of Technology (Grant No. BIT-JC-201205);supported by Air Force Office of Scientific Research (AFOSR) (Grant No. FA9550-12-1-0055)

摘  要:The unwanted coupling exists inevitably among multiple orthogonal waveforms in a same frequen- cy area for multiple-input and multiple-output synthetic aperture radar (MIMO-SAR). In this paper, a new polarized MIMO-SAR model is established with two transmitting antennas and multiple receiving antennas at first. Then, a virtual polarization filter (VPF) is proposed to separate superposed returns caused by multiple transmitted waveforms based on detection on the polarized parameters via particle swarm optimizer (PSO). Compared with the conventional matched filter to separate the orthogonal waveforms, it is shown that the coupling noises can be significantly suppressed by the proposed VPF-based method and the orthogonality is not necessary among different transmitting waveforms. Finally, experimental data experiments are also provided to demonstrate the effectiveness of the proposed method.The unwanted coupling exists inevitably among multiple orthogonal waveforms in a same frequen- cy area for multiple-input and multiple-output synthetic aperture radar (MIMO-SAR). In this paper, a new polarized MIMO-SAR model is established with two transmitting antennas and multiple receiving antennas at first. Then, a virtual polarization filter (VPF) is proposed to separate superposed returns caused by multiple transmitted waveforms based on detection on the polarized parameters via particle swarm optimizer (PSO). Compared with the conventional matched filter to separate the orthogonal waveforms, it is shown that the coupling noises can be significantly suppressed by the proposed VPF-based method and the orthogonality is not necessary among different transmitting waveforms. Finally, experimental data experiments are also provided to demonstrate the effectiveness of the proposed method.

关 键 词:multiple-input and multiple-output synthetic aperture radar (MIMO-SAR) orthogonal waveforms virtual polarization filter (VPF) particle swarm optimizer (PSO) 

分 类 号:TN958[电子电信—信号与信息处理]

 

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