A New Blind Source Separation Algorithm in Application of Over-Determined Mode under Lower SNR

Abstract:

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The paper proposes a new BSS algorithm based on the second-order statistics. By jointly diagonalizing the time delay correlation matrix of the observed signals and using the improved new non-orthogonal joint diagonalization (NOJD) method, a better solution is achieved. The proposed algorithm can successfully separate communication signals under SNR as low as 10dB and the over-determined mode regardless of the signals’ modulation methods. Signal to Interference Noise Ratio (SINR) is used to prove the superiority of the proposed algorithm over the classical Second-Order Blind Identification (SOBI).

Info:

Periodical:

Advanced Materials Research (Volumes 139-141)

Edited by:

Liangchi Zhang, Chunliang Zhang and Tielin Shi

Pages:

2132-2135

DOI:

10.4028/www.scientific.net/AMR.139-141.2132

Citation:

P. Wang et al., "A New Blind Source Separation Algorithm in Application of Over-Determined Mode under Lower SNR", Advanced Materials Research, Vols. 139-141, pp. 2132-2135, 2010

Online since:

October 2010

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Price:

$35.00

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