DOA and DOD Estimation Based on Double 1-D Root-MVDR Estimators for Bistatic MIMO Radars

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• 作者：Shiaw-Wu Chen ; Chao-Li Meng ; Ann-Chen Chang
• 关键词：Bistatic radar ; Multi ; input multi ; output ; Direction of departure ; Direction of arrival ; Polynomial rooting ; Minimum variance distortionless response
• 刊名：Wireless Personal Communications
• 出版年：2016
• 出版时间：February 2016
• 年：2016
• 卷：86
• 期：3
• 页码：1321-1332
• 全文大小：553 KB
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  4.Bencheikh, M. L., Wang, Y., & He, H. (2010). Polynomial root finding technique for joint DOA DOD estimation in bistatic MIMO radar. Signal Processing, 90(9), 2723–2730.CrossRef MATH
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• 作者单位：Shiaw-Wu Chen (1)
  Chao-Li Meng (2)
  Ann-Chen Chang (3)
  
  1. Department of Automatic Control Engineering, Feng Chia University, Taichung, 407, Taiwan, ROC
  2. Ph.D. Program of Electrical and Communications Engineering, Feng Chia University, Taichung, 407, Taiwan, ROC
  3. Department of Information Technology, Ling Tung University, Taichung, 408, Taiwan, ROC
  
• 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

This paper deals with direction of arrival (DOA) and direction of departure (DOD) estimation of existing targets based on polynomial root finding estimators with minimum variance distortionless response (MVDR) criterion in bistatic multi-input multi-output radar systems. First, the presented estimator transforms the conventional two-dimensional searching approach into double one-dimensional polynomial root-MVDR approach for DOA and DOD estimation. Thus, the pairing operation can be obtained automatically. Second, to mitigate the influence of noise corruption and the estimate radial bias, we also presented a differential polynomial root-MVDR estimator to obtain more accuracy estimation performance. Finally, simulation results are provided to verify the efficiency of the proposed estimators.