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基于高階累積量的復(fù)數(shù)混合矩陣盲估計(jì)算法

倪晉平,  馬遠(yuǎn)良,  鄢社鋒

倪晉平, 馬遠(yuǎn)良, 鄢社鋒. 基于高階累積量的復(fù)數(shù)混合矩陣盲估計(jì)算法[J]. 電子與信息學(xué)報(bào), 2002, 24(11): 1506-1511.
引用本文: 倪晉平, 馬遠(yuǎn)良, 鄢社鋒. 基于高階累積量的復(fù)數(shù)混合矩陣盲估計(jì)算法[J]. 電子與信息學(xué)報(bào), 2002, 24(11): 1506-1511.
Ni Jinping, Ma Yuanliang, Yan Shefeng. Blind estimation algorithm for complex mixed matrix based on higher-order cumulants[J]. Journal of Electronics & Information Technology, 2002, 24(11): 1506-1511.
Citation: Ni Jinping, Ma Yuanliang, Yan Shefeng. Blind estimation algorithm for complex mixed matrix based on higher-order cumulants[J]. Journal of Electronics & Information Technology, 2002, 24(11): 1506-1511.

基于高階累積量的復(fù)數(shù)混合矩陣盲估計(jì)算法

Blind estimation algorithm for complex mixed matrix based on higher-order cumulants

  • 摘要: 該文針對(duì)兩個(gè)傳感器三個(gè)信號(hào)源的(即M＜N)盲信號(hào)分離問題,推導(dǎo)出了一種基于高階累積量的復(fù)數(shù)混合矩陣盲估計(jì)算法.提出的算法當(dāng)信號(hào)源的個(gè)數(shù)大于傳感器的個(gè)數(shù)時(shí),成功實(shí)現(xiàn)通道參數(shù)的盲估計(jì).計(jì)算機(jī)仿真驗(yàn)證了算法的有效性.
    Abstract: Based on higher-order cumulants, the blind estimation of complex mixed matrix for the difficult case of 2 sensors and 3 sources is addressed. When the number of source signals is greater than or equal to the number of sensors, the proposed algorithm can successfully estimate the channel matrix. The performance of the algorithm is evaluated by computer simulation.
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  • J.F. Cardoso, B. H. Laheld, Equivariant adaptive source separation, IEEE Trans. on Signal Processing, 1996, 44(11), 3017-3030.[2]E. Bingham, A. Hyvarinen, A fast fixed-point algorithm for independent component analysis of complex valued signals, Int. J. of Neural Systems, 2000, 10(1), 1-8.[3]J. Karhunen, E. Oja, Liuyue Wang, R. Vigario, J. Joutsensalo, A class of neural networks for independent component analysis, IEEE Trans. on Neural Networks, 1997, 8(3), 486-504.[4]H.H. Yang, S-I, Amari Adaptive online learning algorithms for blind separation maximum entropy and minimum mutual information, Neural Computation, 1997, 9(7), 1457-1482.[5]倪晉平,馬遠(yuǎn)良,孫超,童立,用獨(dú)立成分分析算法盲分離水聲信號(hào),聲學(xué)學(xué)報(bào),2002,27(4),321-326.[6]Ding Zhi, Nguyen Tuan, Stationary points of a kurtosis maximization algorithm for blind signal separation and antenna beamforming, IEEE Trans. on Signal Processing, 2000, 48(6), 1587-1596.[7]S. Shamsunder, G. B. Giannakis, Modeling of non-Gaussian array data using cumulants: DOA estimation of more sources with less sensors, Signal Proceesing, 1993, 30(2), 279-297.[8]Lai Wai-Kuen, Ching P-C, A novel blind estimation algorithm[J], IEEE Trans. on Signal Processing, 1997, 45(7), 1763-1769.[9]J.M. Mendel, Tutorial on higher-order statistics (spectra) in signal processing and system theory:theorectical results and some applications, Proc. IEEE, 1991, 79(3), 278-305.
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出版歷程
  • 收稿日期:  2001-07-12
  • 修回日期:  2002-05-10
  • 刊出日期:  2002-11-19

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