Reduced-Dimension DOA and DOD Estimation with Real-Valued Implementation for Bistatic MIMO Radars

详细信息    查看全文

• 作者：Ann-Chen Chang
• 关键词：Bistatic radar ; Angle estimation ; Multiple ; input multiple ; output ; Multiple signal classification ; Unitary transformation ; Reduced ; dimension
• 刊名：Wireless Personal Communications
• 出版年：2015
• 出版时间：December 2015
• 年：2015
• 卷：85
• 期：3
• 页码：1061-1070
• 全文大小：567 KB
• 参考文献：1.Fishler, E., Haimovich, A., Blum, R., Chizhik, D., Cimini, L., & Valenzuela, R. (2004). MIMO radar: An idea whose time has come, In Proceedings of the IEEE Radar Conference (pp. 71–78, 26–29).
  2.Yan, H. D., Li, J., & Liao, G. S. (2008) Multitarget identification and localization using bistatic MIMO radar systems. EURASIP Journal of Advance Signal Processing.
  3.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
  4.Zhang, X., & Xu, D. (2013). Angle estimation in bistatic MIMO radar using improved reduced dimension Capon algorithm. The Journal of Systems Engineering and Electronics, 24(1), 84–89.CrossRef
  5.Zhang, X., Xu, L., Xu, L., & Xu, D. (2010). Direction of departure (DOD) and direction of arrival (DOA) estimation in MIMO radar with reduced-dimension MUSIC. IEEE Communication Letters, 14(12), 1161–1163.CrossRef
  6.Pesavento, M., Gershman, A. B., & Haardt, M. (2000). Unitary root-MUSIC with a real-valued eigendecomposition: A theoretical and experimental performance study. IEEE Transaction on Signal Processing, 48(5), 1306–1314.CrossRef
  7.Golub, G. H., & Van Loan, C. H. (1996). Matrix computations. Baltimore: The Johns Hopkins University Press.MATH
  
• 作者单位：Ann-Chen Chang (1)
  
  1. 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

In this paper, a reduced-dimension based direction of arrival (DOA) and direction of departure (DOD) estimator with real-valued implementation is presented by introducing a preprocessing transformation for bistatic multiple-input multiple-output radars is addressed. First, a two-dimensional searching estimator by exploiting unitary multiple signal classification (UMUSIC) technique with automatic pairing is presented. Second, this paper also presents a reduced-dimension (RD) UMUSIC (RD-UMUSIC) estimator by utilizing the characteristic of Kronecker product, which only requires a one-dimensional search for DOA estimation. Following this, the angle of DOD corresponding to the estimated DOA is obtained by using a shaping DOD steering vector approach. Furthermore, the DOA and DOD pairing is given automatically. The proposed estimator has low computational complexity due to the preprocessing unitary transformation and RD approaches. Finally, simulation results are presented to verify the efficiency of the proposed estimator.