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一种低复杂度的动目标DOA估计算法 被引量:1

A low complexity DOA estimation algorithm for moving sources
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摘要 针对运动目标信号波达方向(DOA)估计问题,提出将简化的数据投影法(DPM)与快速求根MUISC(FR-MUSIC)算法相结合,得到了一种新的动目标DOA估计算法。该算法的特点是利用FR-MUSIC中的子矩阵求逆过程抵消了原DPM算法中的正交化步骤,从而在不损失DOA估计性能的前提下,将子空间跟踪的运算量降至同类算法运算量的下限。与经典的同类算法相比,新算法具有相近的估计性能和较低的计算复杂度,仿真实验结果验证了该算法的有效性。 Aiming at the problem of moving sources direction-of-arrival(DOA) estimation,a novel algorithm is proposed,which combines a simplified data projection method(DPM) and the fast Root-MUSIC(FR-MUSIC).The distinct point of proposed algorithm is that taking advantage of the sub-matrix inversion of the FR-MUSIC,the orthogonalization of the original DPM is removed,so that the computational load of the subspace-tracking procedure is reduced to the lowest bound of that of the algorithms in the some class,and the proposed algorithm does not loss any performance of DOA estimation.Compared with a classical algorithm of the kind,the novel algorithm possesses similar performance but lower computational complexity,and the results of simulation verify its validity.
出处 《电路与系统学报》 CSCD 北大核心 2011年第3期138-142,共5页 Journal of Circuits and Systems
关键词 低复杂度 数据投影法 DOA估计 动目标 low complexity data projection method DOA estimation moving sources
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参考文献10

  • 1王海陆,徐晓燕,石敏,冀邦杰,淦华东.矢量水听器阵列自适应子空间跟踪算法[J].声学技术,2008,27(3):338-341. 被引量:3
  • 2周旦,王翠萍.一种新的子空间跟踪方法在DOA估计中的应用[J].现代电子技术,2005,28(11):66-67. 被引量:1
  • 3陈辉,王永良.秩-1子空间跟踪算法[J].电子与信息学报,2002,24(5):626-630. 被引量:14
  • 4Doukopoulos X G,Moustakides G V.Fast and Stable Subspace Tracking. IEEE Transactions on Electromagnetic Compatibility . 2008
  • 5Ren Q S,Willis A J.Fast root-MUSIC algorithm. IEE Elec-tronics Letters . 1997
  • 6S. Attallah,K. Abed-Meraim.Fast algorithms for subspace tracking. IEEE Signal Processing Letters . 2001
  • 7Schmidt R O.Multiple emitter location and signal parameters estimation. IEEE Transactions on Antennas and Propagation . 1986
  • 8Roy R,Kailath T.ESPRIT-estimation of signal parameters via rotational invariance techniques. IEEE Transactions on Acoustics Speech and Signal Processing . 1989
  • 9Golub GH,Van Loan CF.Matrix Computations. . 1996
  • 10Yang J F,Kaveh M.Adaptive eigensubspace algorithmsfor directionor frequency esti mationandtracking. IEEE Trans.on Acoustics,Speech,Signal Processing . 1988

二级参考文献17

  • 1吕钱浩,杨士莪,张锦中,朴胜春.矢量传感器阵列高分辨率方位估计技术研究[J].哈尔滨工程大学学报,2004,25(4):440-445. 被引量:23
  • 2张永军,陈宗骘.特征值平移超分辨率算法[J].电子科学学刊,1996,18(5):449-454. 被引量:3
  • 3Strobach P. Bi-iteration SVD Subspace Tracking Algorithms [J]. IEEE Trans. Signal Processing, 1997, 45:1 222-1 240.
  • 4Strobach P. Fast Recursive Subspace Adaptive ESPRIT Algorithms [J]. IEEE Trans. Signal Processing, 1998, 45 :2 413-2 430.
  • 5Shan Ouyang, Yingbo Hua. Bi -iterative Least Square Versus Bi -iterative Singular Value Decomposition for Subspace Tracking [J] . In proc. of IEEE ICASSP, 2004,353 -356.
  • 6X. Yang, T. K. Sarkar, E. Arvas, A survey of conjugate gradient algorithms for solution of extreme eigen-problems of a symmetric matrix, IEEE Trans. on ASSP, 1989, ASSP-37, 1550-1556.
  • 7T.S. Durrani, K. C. Sharman, Eigenfilter approaches to adaptive array processing, IEE Proc.-F., 1983, 130(1), 22-28.
  • 8R.D. DeGroat, Noniterative subspace tracking, IEEE Trans. on SP, 1992, SP-40(3), 571-577.
  • 9B. Yang, Projection approximation subspace tracking, IEEE Trans. on SP, 1995, SP-43(1), 95107.
  • 10G.W. Stewart, An updating algorithm for subspace tracking, IEEE Trans. on SP, 1992, SP-40,1535-1541.

共引文献15

同被引文献3

  • 1Ju-Hong Lee,Chia-Cheng Huang.Robust cyclic adaptive beamforming using a compensation method[J].Signal Processing.2011(4)
  • 2Jie Zhang,Guisheng Liao,Jue Wang.Robust direction finding for cyclostationary signals with cycle frequency error[J].Signal Processing.2005(12)
  • 3赵汇强,张玉萍,全厚德.运动目标DOA自适应跟踪算法[J].火力与指挥控制,2012,37(6):152-156. 被引量:2

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