期刊文献+

一种不需要特征值分解的MUSIC新算法 被引量:4

A Novel MUSIC Algorithm without Eigende-composition
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摘要 在阵列信号处理中,诸如MUSIC和ESPRIT等高分辨率空间谱估计算法都要对阵列输出数据的协方差矩阵进行特征值分解,其计算量较大,不适合实时处理。因此,文中提出MCA(次分量分析)高效迭代算法,用来逼近噪声子空间,该算法无需进行特征值分解,计算过程相对简单,具有自组织特性,算法稳定收敛,适合于神经网络来实现。通过仿真实验证实了所提算法的优良性能及其可实施性。 In the array signal processing, such MUSIC and ESPRIT as high-resolution spatial estimation algorithm need to decompose covariance matrix of the array output data, which involves large amount of computation and is not suitable for real-time processing. Therefore, the MCA(Component Analysis) efficient iterative algorithm is proposed in the paper to approximate the noise subspacc.This algorithm needs no eigenvalue decomposition, is relatively simple in the calculation process, is of self-organizing feature. It is stable in convergence and good for implementation by neural networks. Simulation results have proved the excellent performance and practicability of the proposed algorithm.
出处 《信息安全与通信保密》 2009年第1期111-113,共3页 Information Security and Communications Privacy
关键词 协方差矩阵 实时处理 迭代算法 神经网络 covariance matrix real-time processing iterative algorithm neural network
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参考文献6

  • 1Schmidt R O.Multiple Emitter Location and Signal Parameter Estimation[].IEEE Transactions on Acoustics Speech and Signal Processing.1986
  • 2Richard Roy,Thomas Kailath.ESPRIT-Estimation of Signal Parameters Via Rotational Invariance Techniques[].IEEE Transaction on Acoustics Speech and Signal Processing.1989
  • 3Kumaresan R.Estimating the angles of arrival of multiple source plane waves[].IEEE Trans on Aerosp Elect Syst.1983
  • 4Schmidt R O.Multiple emitter location and signal parameter estimation[].IEEE Transactions on Antennas and Propagation.1986
  • 5Wang Shu,Zhou Xilang.Extending MUSIC algorithm by using virtual array technique[].IEEE SouthEastCon.1999
  • 6L.Badidi,L.Radouane.A neural network approach for DOA estimation and tracking[].Proceedings of the th IEEE Workshop on Statistical Signal and Army Processing.2000

同被引文献17

  • 1翟明岳,唐良瑞,梁明.CDMA系统中多径信号的时延和到达角的联合估计[J].华北电力大学学报(自然科学版),2004,31(4):98-101. 被引量:2
  • 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
  • 3于红旗,刘剑,黄知涛,周一宇.阵列接收宽带信号的建模方法及仿真[J].电子对抗,2006(4):7-12. 被引量:7
  • 4丁卫安,马远良.相干信号源DOA估计改进ESPRIT算法研究[J].指挥控制与仿真,2007,29(4):38-40. 被引量:8
  • 5Ren Q S,Willis A J.Extending MUSIC to Single Snapshot and on Line Direction Finding Applications[C]// Proc of IEEE Radar 97.Edinburgh.UK:IEEE,1997:783-787.
  • 6Schmidt R O.Multiple Emitter Location and Signal Parameter Estimation[J].IEEE Trans on AP,1986,AP-34(03):276-280.
  • 7Zoltowski M D.Beamspace Root-Music[J].IEEE Trans on SP,1993,41(01):344-364.
  • 8SCHMIDT R O.Multiple emitter location and signal parameter estimation[J].IEEE Trans.on AP,1986,34(3):276-280.
  • 9DURRANI T S,SHARMAN K C.Eigenfilter approaches to adaptive array processing[J].IEEE Proc,Pt.F,1983,130(1):22-28.
  • 10ZOLTOWSKI M D,MATHEWS C P.Real-time frequency and 2-D angle estimation with sub-Nyquist spatiotemporal sampling[J].IEEE Trans,1994,SP-42(10):2781-2794.

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