POLARIMETRIC MIMO RADAR TARGET DETECTION BASED ON GLOWWORM SWARM OPTIMIZATION ALGORITHM

被引：0
|
作者：
Jiang, Hong [1 ]
Tang, Xiaohui [1 ]
机构：
[1] Jilin Univ, Coll Commun Engn, Changchun 130012, Peoples R China
来源：
2014 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP) | 2014年
关键词：
Polarimetric MIMO radar; target detection; glowworm swarm optimization; polarization waveform design;
D O I：
暂无
中图分类号：
O42 [声学];
学科分类号：
070206 ; 082403 ;
摘要：
Arbitrary transmit polarization waveforms are permitted to match the scattering properties of the target for polarimetric multiple-input multiple-output (MIMO) radar systems in order to improve the detection performance. In this paper, a polarization optimization method based on glowworm swarm optimization (GSO) algorithm is proposed to select the polarization waveforms of the transmit array to maximize detection probability. The signal model of polarimetric MIMO radar is described. A Neyman-Pearson criterion based detector is designed, and the closed expression of false alarm probability and detection probability in Gaussian clutter is elicited. Then, polarization waveform design based on GSO algorithm is presented. The algorithm performance is analyzed by simulation, and the detection probability for the solution of GSO is compared with other several transmit polarization schemes.
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页数：5
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