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基于單個頻點的水聲信號盲源分離

姜衛(wèi)東,  陸佶人,  張宏滔

姜衛(wèi)東, 陸佶人, 張宏滔. 基于單個頻點的水聲信號盲源分離[J]. 電子與信息學(xué)報, 2005, 27(4): 532-535.
引用本文: 姜衛(wèi)東, 陸佶人, 張宏滔. 基于單個頻點的水聲信號盲源分離[J]. 電子與信息學(xué)報, 2005, 27(4): 532-535.
Jiang Wei-dong, Lu Ji-ren, Zhang Hong-tao. Blind Source Separation of Underwater Signals Using Single Frequency Bin[J]. Journal of Electronics & Information Technology, 2005, 27(4): 532-535.
Citation: Jiang Wei-dong, Lu Ji-ren, Zhang Hong-tao. Blind Source Separation of Underwater Signals Using Single Frequency Bin[J]. Journal of Electronics & Information Technology, 2005, 27(4): 532-535.

基于單個頻點的水聲信號盲源分離

Blind Source Separation of Underwater Signals Using Single Frequency Bin

  • 摘要: 該文提出基于單個頻點的卷積信號盲源分離方法，利用該方法不但可以有效克服頻域盲分離過程中排序不確定問題，而且在分離過程中，無需考慮幅度不一致問題。將該方法用于水聲信號的盲分離，仿真結(jié)果表明基于單個頻點盲源分離方法能夠很好地分離水聲卷積混合信號。與基于兩個頻點盲源分離方法相比較，其分離效果更優(yōu)，并且能有效節(jié)省CPU運算時間，因而更適合于對信號進行實時處理。
    Abstract: A new blind signal separation method, where only one frequency bin is used, is presented to separate the underwater signals. Using this method, the indeterminacy in amplitude and permutation can be eliminated, and the validity of this method is confirmed by simulation experiment. Compared with the separation algorithm based on two frequency bins, this new method has better separation performance and less operation time. Therefore, the separation algorithm based on single frequency bin is more suitable for real-time signal separation.
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  • Torkkola K. Blind separation of convolved sources based on information maximization. In IEEE Workshop on Neural Networks for Signal Processing, Kyoto, Japan, 1996:423 - 432.Torkkola K. Blind separation of delayed sources based on information maximization. In Proc. ICASSP, Atlanta, GA, 1996:3510 - 3513.[2]Lambert R H. Multichannel blind deconvolution: FIR matrix algebra and separation of multipath mixtures [D]. University of Southern California, 1996. [4]Nguyen Thi H L, Jutten C. Blind source separation for convolutive mixtures. Signal processing, 1995, 45(2): 209-229.[3]Kurita S, Saruwatari H, et al.. Evaluation of blind separation method using directivity pattern under reverberant conditions. In Proc. ICASSP. 2000, Istanbul, Turkey: 3140- 3143.[4]Dapena A, Serviere C, Castedo L. Inversion of the sliding Fourier transform using only two frequency bins and its application to source separation[J].Signal processing.2003, 83(2):453-[5]Dapena A, Serviere C, Castedo L. Separation of convolutive mixtures in the frequency-domain using only two frequency bins.In Proc. ICASSP. 2002, Florida, USA: 1633 - 1636.[6]倪晉平,馬遠良,等.水聲信號盲分離算法性能評價準(zhǔn)則.探測與控制學(xué)報,2003,24(2):40-44.[7]張安清,章新華.基于信息理論的艦船噪聲盲分離算法.系統(tǒng)工程與電子技術(shù),2002,24(2):38-40.[8]Cardoso J F, Souloumiac A. Blind beamforming for non-Gaussian signals. IEE Proc.-F, 1993, 140(6): 362 - 370.
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出版歷程
  • 收稿日期:  2003-12-09
  • 修回日期:  2004-04-19
  • 刊出日期:  2005-04-19

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