Unitary dual-resolution ESPRIT for joint DOD and DOA estimation in bistatic MIMO radar

详细信息    查看全文

• 作者：Guimei Zheng (1)
  Baixiao Chen (1)
  
  1. National Laboratory of Radar Signal Processing ; Xidian University ; Xi鈥檃n ; China
  
• 关键词：Bistatic MIMO radar ; DOD estimation ; DOA estimation ; Unitary ESPRIT ; Separated subarray
• 刊名：Multidimensional Systems and Signal Processing
• 出版年：2015
• 出版时间：January 2015
• 年：2015
• 卷：26
• 期：1
• 页码：159-178
• 全文大小：1,223 KB
• 参考文献：1. Athley, F., & Engdahl, C. (2000). Direction-of-arrival estimation using separated subarrays. / Conference Record of the Thirty-Fourth Asilomar on Signals Systems and Computers, / 1, 585鈥?89. CrossRef
  2. Bekkerman, I., & Tabrikian, J. (2006). Target detection and localization using MIMO radars and sonars. / IEEE Transactions on Signal Processing, / 54, 3873鈥?883. CrossRef
  3. Bencheikh, M. L., & Wang, Y. (2010). Joint DOD鈥揇OA estimation using combined ESPRIT-MUSIC approach in MIMO radar. / Electronics Letters, / 46, 1081鈥?083. CrossRef
  4. Bencheikh, M. L., & Wang, Y. (2011). Combined ESPRIT-RootMUSIC for DOD鈥揇OA estimation in polarimetric bistatic MIMO radar. / Progress in Electromagnetics Research Letters, / 22, 109鈥?17. CrossRef
  5. Chen, J., Gu, H., & Su, W. (2008a). Angle estimation using ESPRIT without pairing in MIMO radar. / Electronics Letters, / 44, 1422鈥?423. CrossRef
  6. Chen, D. F., Chen, B. X., & Qin, G. D. (2008b). Angle estimation using ESPRIT in MIMO radar. / Electronics Letters, / 44, 770鈥?71. CrossRef
  7. Chen, W., Xu, X., Wen, S., et al. (2011). Super-resolution direction finding with far-separated subarrays using virtual array elements. / IET Radar, Sonar Navigation, / 5, 824鈥?34. CrossRef
  8. Chen, G. H., & Chen, B. X. (2012). Eigenstructure-based ambiguity resolution algorithm for distributed subarray antennas VHF radar. / Electronics Letters, / 48, 788鈥?89. CrossRef
  9. Chen, H., Chen, Y., Yang, Z., et al. (2012). Extended ambiguity function for bistatic MIMO radar. / Journal of Systems Engineering and Electronics, / 23, 195鈥?00. CrossRef
  10. Coutts, S., Cuomo, K., Robey, F. (2005). Distributed coherent aperture measurements for next generation BMD radar. In / Proceedings of IEEE sensor array and multichannel signal process, Workshop, (pp. 390鈥?93).
  11. Fishler, E., Haimovich, A., Blum, R., et al. (2004). MIMO radar: An idea whose time has come. / Proceedings of IEEE Radar Conference, Honolulu, Hawaii, USA, / 2, 71鈥?8.
  12. Fishler, E., Haimovich, A., Blum, R., et al. (2006). Spatial diversity in radars-models and detection performance. / IEEE Transactions on Signal Processing, / 54, 823鈥?38. CrossRef
  13. Golub, G. H., & Van Loan, C. F. (1996). / Matrix computation (3rd ed.). Baltimore: The John Hopkins University Press.
  14. Haardt, M., & Nossek, J. A. (1995). Unitary ESPRIT: How to obtain increased estimation accuracy with a reduced computational burden. / IEEE Transactions on Signal Processing, / 43, 1232鈥?242. CrossRef
  15. Haimovich, A., Blum, R., & Cimini, L. (2008). MIMO radar with widely separated antennas. / IEEE Signal Processing Magazine, / 25, 116鈥?29. CrossRef
  16. Lemma, A. N., Veen, A. J., & Deprettere, E. F. (1999). Multiresolution ESPRIT algorithm. / IEEE Transactions on Signal Processing, / 47, 1722鈥?726. CrossRef
  17. Li, J., & Stoica, P. (2007). MIMO radar with colocated antennas. / IEEE Signal Processing Magazine, / 24, 106鈥?14. CrossRef
  18. Liu, Z., Ruan, X., & He, J. (2013). Efficient 2-D DOA estimation for coherent sources with a sparse acoustic vector-sensor array. / Multidimensional Systems and Signal Processing, / 24, 105鈥?20. CrossRef
  19. Nilsson, J.E. Warston, H. (2003). Radar with separated subarray antennas. In / Proceedings of IEEE radar conference, (pp. 194鈥?99), Australia.
  20. Roy, R., & Kailath, T. (1989). ESPRIT-estimation of signal parameters via rotational invariance techniques. / IEEE Transactions on Acoustics, Speech and Signal Processing, / 37, 984鈥?95. CrossRef
  21. Swindlehurst, A. L., Stoica, P., & Jansson, M. (2001). Exploiting arrays with multiple invariances using MUSIC and MODE. / IEEE Transactions on Signal Processing, / 49, 2511鈥?521. CrossRef
  22. Van Trees, H. L. (2002). / Detection, estimation, and modulation theory, part IV: Optimum array processing. New York: Wiley.
  23. Vasylyshyn, V. (2009). Direction of arrival estimation using ESPRIT with sparse arrays. In / Proceedings of the 6th European radar conference, (pp. 246鈥?49).
  24. Willis, N. J. (2007). / Bistatic radar (2nd ed.). Raleigh: SciTech Publishing.
  25. Wong, K. T., & Zoltowski, M. D. (1998). Direction-finding with sparse rectangular dual-size spatial invariance array. / IEEE Transactions on Aerospace and Electronic Systems, / 34, 1320鈥?336. CrossRef
  26. Xie, R., Liu, Z., & Wu, J. X. (2012). Direction finding with automatic pairing for bistatic MIMO radar. / Signal Process, / 92, 198鈥?03. CrossRef
  27. Zhang, X., & Xu, D. (2010). Angle estimation in MIMO radar using reduced-dimension Capon. / Electronics Letters, / 46, 860鈥?61. CrossRef
  28. Zhang, X., Xu, L., Xu, L., et al. (2010). Direction of Departure (DOD) and Direction of Arrival (DOA) estimation in MIMO radar with reduced-dimension MUSIC. / IEEE Communications Letters, / 14, 1161鈥?163. CrossRef
  29. Zhang, S., & Zhu, X. (2013). Improved design of unimodular waveforms for MIMO radar. / Multidimensional Systems and Signal Processing, / 24, 447鈥?56. CrossRef
  30. Zheng, G., Chen, B., & Yang, M. (2012). Unitary ESPRIT algorithm for bistatic MIMO radar. / Electronics Letters, / 48, 179鈥?81. CrossRef
  31. Zoltowski, M. D., Haardt, M., & Mathews, C. P. (1996). Closed-form 2-angle estimation with rectangular arrays in element space or beamspace via unitary ESPRIT. / IEEE Transactions on Signal Processing, / 44, 316鈥?28. CrossRef
  
• 刊物类别：Engineering
• 刊物主题：Circuits and Systems
  Electronic and Computer Engineering
  Signal,Image and Speech Processing
  Artificial Intelligence and Robotics
  
• 出版者：Springer Netherlands
• ISSN：1573-0824

文摘

This paper investigates the problem of joint direction of departure (DOD) and direction of arrival (DOA) estimation in bistatic MIMO radar. A new bistatic MIMO array, both the transmit array and the receive array consist of two separated subarrays with dual baselines is proposed, in contrast to the modeling of both the transmit array and the receive array to be uniform linear array in the existing research literature. And a new joint DOD and DOA estimation algorithm, called unitary dual-resolution ESPRIT, is proposed. First, the short baseline rotational invariance within subarray yields non-ambiguous coarse DOD and DOA estimation. Then the long baseline rotational invariance between subarray yields high accuracy but cyclically ambiguous DOD and DOA estimation. Last, the combination of both estimates yield high accuracy and non-ambiguous DOD and DOA estimation. Moreover, we propose to utilize the properties of centro-Hermitian matrices to transform the complex-valued computations into real-valued computations throughout the whole process. The proposed algorithm gives significant improvement in DOD and DOA estimation performance, with automatic pairing and without extra antennas and computational complexity compared with the conventional algorithms. Simulation results verify the effectiveness of the proposed algorithm.