一种双基地MIMO雷达快速多目标定位方法

陈金立; 顾红; 苏卫民

doi:10.3724/SP.J.1146.2008.00871

一种双基地MIMO雷达快速多目标定位方法

doi: 10.3724/SP.J.1146.2008.00871

基金项目:

国家自然科学基金(60672075)资助课题

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出版历程
- 收稿日期: 2008-07-08
- 修回日期: 2009-01-05
- 刊出日期: 2009-07-19

A Method for Fast Multi-target Localization in Bistatic MIMO Radar System

摘要

摘要: 该文研究了双基地MIMO雷达测向交叉多目标定位方法，提出了一种基于传播算子的双基地MIMO雷达快速多目标定位算法。该方法避免了一般子空间方法中占主要运算量的协方差矩阵估计和奇异值分解，不需要二维谱峰搜索，在保证二维方位角估计性能的基础上，降低了运算复杂度。利用矩阵的初等变换以及矩阵、矩阵特征值和特征值对应的特征向量三者之间的关系，该算法所估计二维方位角参数能自动配对，不需要额外的配对运算。最后仿真结果验证了该算法的有效性。
- MIMO雷达;双基地;传播算子;矩阵初等变换
Abstract: The direction finding cross localization using bistatic MIMO radar system is studied in this paper, and a fast multi-target localization algorithm based on propagator method is proposed. The new method avoids the estimation and SVD (Singular Value Decomposition) of the covariance matrix of the received signals which are the main computational burden in traditional subspace method, and does not need two-dimensional (2-D) spectrum peak searching. Thus, the computational complexity of the proposed algorithm is reduced with the maintenance of good performance for two-dimensional angle estimation. According to the elementary matrix transformation and the tripartite relationship among matrix, the eigenvalue of the matrix and the eigenvector corresponding to the eigenvalue, the estimated parameters of the proposed algorithm are automatically paired with the additional paring computation eliminated. The simulation results demonstrate its effectiveness and robustness.

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Fisher E, Haimovich A, and Blum R S, et al.. Spatial diversityin radars-models and detection performance[J].IEEETransactions on Signal Processing.2006, 54(3):823-838[2]Haimovich A M, Blum R S, and Leonard J, et al.. MIMOradar with widely separated antennas[J].IEEE SignalProcessing Magazine.2008, 25(1):116-129[3]Bekkerman I and Tabrikian J. Target detection andlocalization using MIMO radars and sonars[J].IEEETransactions on Signal Processing.2006, 54(10):3873-3883[4]Jian L and Stoica P. MIMO radar with colocated antennas[J].IEEE Signal Processing Magazine, 2007, 24(5):106-114.[5]Yan H, Li J, and Liao G. Multitarget identification andlocalization using bistatic MIMO radar systems[J].EURASIP Journal on Advances in Signal Processing, 2008,8(2): 1-8.[6]Duofang C, BaiXiao C, and Guodong Q. Angle estimationusing ESPRIT in MIMO radar[J].Electronics Letters.2008,44(12):770-771[7]任勋立, 廖桂生, 曾操. 一种低复杂度的二维波达方向估计方法[J]. 电报科学学报, 2005, 20(4): 526-530.Ren Xun-li, Liao Gui-sheng, and Zeng Cao. A low complexitymethod for estimating 2-D DOA[J]. Chinese Journal of RadioScience, 2005, 20(4): 526-530.[8]唐明, 王定江, 冯鸣,等. 线性代数[M]. 杭州: 浙江大学出版社, 2004: 50-56.Tang Ming, Wang Ding-jiang, and Feng Ming, et al.. LinearAlgebra[M]. Hangzhou: Zhejiang University Press, 2004:50-56.[9]Wu H T, Yang J F, and Chen F K. Source number estimatorsusing transformed gerschgorin radii[J].IEEE Transactions onSignal Processing.1995, 43(6):1325-1333[10]刁鸣, 缪善林.一种二维ESPRIT算法参数配对新方法[J]. 系统工程与电子技术, 2007, 29(8): 1226-1229.Diao Ming and Miao Shan-lin. New method of parametermatching for 2-D ESPRIT algorithms[J]. System Engineeringand Electronics, 2007, 29(8): 1226-1229.[11]Golub G H and VanLoan C F. Matrix Computations. 3rdED[M]. Baltimore, MD: John Hopkins University Press, 1996:359-360.[12]Golub G H and Reinsch C. Singular value decomposition andleast squares solutions[J].Numerische Mathematik.1970,14(4):403-420

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