Joint Estimation of Angle and Polarization for Bistatic MIMO Radar with Polarization Sensitive Array Using Dimension Reduction MUSIC

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• 作者：Ming Zhou (1)
  Xiaofei Zhang (1) (2)
  
  1. College of Electronic and Information Engineering ; Nanjing University of Aeronautics and Astronautics ; Nanjing ; 210016 ; China
  2. Nanjing Panda Electronics Group ; Nanjing ; 210002 ; China
  
• 关键词：MIMO radar ; Polarization sensitive array ; Dimension reduction MUSIC ; Multiple parameter estimation
• 刊名：Wireless Personal Communications
• 出版年：2015
• 出版时间：April 2015
• 年：2015
• 卷：81
• 期：3
• 页码：1333-1345
• 全文大小：595 KB
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• 刊物类别：Engineering
• 刊物主题：Electronic and Computer Engineering
  Signal,Image and Speech Processing
  Processor Architectures
  
• 出版者：Springer Netherlands
• ISSN：1572-834X

文摘

In this paper, we propose a new blind direction-of-departure (DOD), direction-of-arrival (DOA) and polarization estimation algorithm for bistatic polarimetric multiple-input multiple-output radar using dimension reduction multiple signal classification. The proposed algorithm obtains the initial estimation of DOD via the signal subspace, then utilizes one-dimension (1-D) local searching to estimate more accurate DOD according to the initial estimation of DOD, and finally joint estimates DOA and polarization by means of the receive polarization steering vector. The proposed algorithm, which convert multiple-dimension peak searching to 1-D local searching, can avoid the high computation cost. Simulation results show that the proposed algorithm has better angle and polarization parameter estimation performance than both estimation of signal parameters via rotational invariance technique algorithm and trilinear decomposition algorithm. Furthermore, the proposed algorithm can obtain automatically paired multi-dimensional parameter estimation.