电子与自动控制

MIMO雷达DOD和DOA联合估计算法: RTR-ESPRIT

  • 王克让 ,
  • 何劲 ,
  • 贺亚鹏 ,
  • 朱晓华 ,
  • 张燕洪
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  • 1. 南京理工大学 电子工程与光电技术学院, 江苏 南京 210094;
    2. 康科迪亚大学 电子与计算机工程系, 加拿大 蒙特利尔 H3G 1M8

收稿日期: 2011-08-03

  修回日期: 2011-09-05

  网络出版日期: 2012-05-24

基金资助

南京理工大学自主科研专项计划(2010ZYTS028)

RTR-ESPRIT for Joint DOD and DOA Estimation for MIMO Radars

  • WANG Kerang ,
  • HE Jin ,
  • HE Yapeng ,
  • ZHU Xiaohua ,
  • ZHANG Yanhong
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  • 1. School of Electronic Engineering and Optoelectronic Technology, Nanjing University of Science and Technology, Nanjing 210094, China;
    2. Department of Electrical and Computer Engineering, Concordia University, Montreal H3G 1M8, Canada

Received date: 2011-08-03

  Revised date: 2011-09-05

  Online published: 2012-05-24

Supported by

NUST Research Funding (2010ZYTS028)

摘要

针对双基地多输入多输出(MIMO)雷达多目标波离角(DOD)和波达角(DOA)的联合估计问题,提出一种接收-发射-接收(RTR)-ESPRIT算法。该算法首先利用一维接收ESPRIT(R-ESPRIT)预估计目标DOA,随后分别利用一维发射ESPRIT(T-ESPRIT)和一维接收ESPRIT得到目标的高精度DOD和DOA估计,在每两次ESPRIT算法之间分别构造正交投影算子对接收信号进行接收波束形成和发射波束形成。与传统ESPRIT算法相比,该算法大大降低了数据协方差矩阵维数和计算复杂度,无需额外的配对算法,且理论证明了该方法还可以用于相干目标和单快拍情况下DOD和DOA的联合估计。仿真结果表明了该算法的正确性及良好的估计性能。

本文引用格式

王克让 , 何劲 , 贺亚鹏 , 朱晓华 , 张燕洪 . MIMO雷达DOD和DOA联合估计算法: RTR-ESPRIT[J]. 航空学报, 2012 , (5) : 893 -901 . DOI: CNKI:11-1929/V.20120320.1059.001

Abstract

A receive-transmit-receive (RTR)-ESPRIT algorithm is proposed for the joint estimation of the direction of departure (DOD) and direction of arrival (DOA) for a bistatic multiple-input multiple-output (MIMO) radar. The proposed algorithm first exploits a one-dimensional receive-ESPRIT (R-ESPRIT) to get initial DOA estimates, and then employs two one-dimensional transmit-ESPRIT (T-ESPRIT) and R-ESPRIT algorithms to obtain accurate DOD and DOA estimates, respectively. Between each of the two ESPRIT algorithms, a receive spatial beamforming process or a transmit spatial beamforming process is implemented by orthogonal projection operators. Compared with the ESPRIT algorithm, the proposed algorithm greatly reduces the dimension of the data covariance matrix as well as computational complexity, and requires no parameter pairing. The RTR-ESPRIT method is also proved to be applicable to the case of coherent signals and single snapshots. Simulation results are provided to verify the efficacy and good estimation performance of the proposed algorithm.

参考文献

[1] Li J, Stoica P. MIMO radar with colocated antennas. IEEE Signal Processing Magazine, 2007, 24 (5): 106-114.
[2] Wang K R, Zhang J D, Zhu X H. A method improving angular glint suppression performance in MIMO radar. Journal of Astronautics, 2010, 31(7): 1838-1843. (in Chinese) 王克让, 张劲东, 朱晓华. 一种提高MIMO雷达角闪烁抑制性能的方法. 宇航学报, 2010, 31(7): 1838-1843.
[3] Xu L, Li J, Stoica P. Target detection and parameter estimation for MIMO radar systems. IEEE Transactions on Aerospace and Electronic Systems, 2008, 44 (3): 927-939.
[4] Li J, Stoica P, Xu L, et al. On parameter identifiability of MIMO radar. IEEE Signal Processing Letters, 2007, 14 (12): 968-971.
[5] Tajer A, Jajamovich G H, Wang X, et al. Optimal joint target detection and parameter estimation by MIMO radar. IEEE Journal of Selected Topics in Signal Processing, 2010, 4(1): 127-145.
[6] Boyer R. Performance bounds and angular resolution limit for the moving colocated MIMO radar. IEEE Transactions on Signal Processing, 2011, 59(4): 1539-1552.
[7] Yan H, Li J, Liao G. Multitarget identification and localization using bistatic MIMO radar systems. EURASIP Journal on Advances in Signal Processing, 2008, 2008: 1-8.
[8] Zhang X, Xu L, Xu L. Direction of departure (DOD) and direction of arrival (DOA) estimation in MIMO radar with reduced-dimension MUSIC. IEEE Communications Letters, 2010, 14(12): 1161-1163.
[9] Duofang C, Baixiao C, Guodong Q, et al. Angle estimation using ESPRIT in MIMO radar. IET Electronics Letters, 2008, 44(12): 770-771.
[10] Zhang X, Xu D. Low-complexity ESPRIT-based DOA estimation for colocated MIMO radar using reduced-dimension transformation. Electronics Letters, 2011, 47 (4): 283-284.
[11] Zheng Z D, Zhang J Y. Fast method for multi-target localisation in bistatic MIMO radar. Electronics Letters, 2011, 47(2): 138-139.
[12] Bencheikh M L, Wang Y. Joint DOD-DOA estimation using combined ESPRIT-MUSIC approach in MIMO radar. IET Electronics Letters, 2010, 46 (15): 1081-1083.
[13] Horn R A, Johnson C R. Matrix analysis. Cambridge: Cambridge University Press, 1985: 181-182.
[14] Wang K R, He Y P, Zhu X H. Joint DOD and DOA estimation for MIMO radar with electromagnetic vector sensors. Acta Aeronautica et Astronautica Sinica, 2011, 32(12): 2287-2292. (in Chinese) 王克让, 贺亚鹏, 朱晓华. 多输入多输出电磁矢量阵列雷达的DOD和DOA联合估计. 航空学报, 2011, 32(12): 2287-2292.
[15] Wang Y Y, Chen J T, Fang W H. TST-MUSIC for joint DOA-delay estimation. IEEE Transactions on Signal Processing, 2001, 49(4): 721-729.
[16] Choi Y H. ESPRIT-based coherent source localization with forward and backward vectors. IEEE Transactions on Signal Processing, 2010, 58(12): 6416-6420.
[17] Wang Y L, Chen H, Peng Y N, et al. Spatial spectrum estimation theroy and algorithm. Beijing: Tsinghua University Press, 2004: 98-106. (in Chinese) 王永良, 陈辉, 彭应宁, 等. 空间谱估计理论与算法. 北京: 清华大学出版社, 2004: 98-106.
[18] Jin M, Liao G S, Li J. Joint DOD and DOA estimation for bistatic MIMO radar. Signal Processing, 2009, 89(2): 244-251.
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