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Projected natural gradient-based BSS algorithm with an unknown source number

YE Ji-min(1);JIN Hai-hong(2);LOU Shun-tian(1);ZHANG Xian-da(1)

  

  1. (1) Key Lab. of Radar Signal Processing, Xidian Univ., Xi’an 710071, China
    (2) School of Science, Xi’an Shiyou Univ., Xi’an 710065, China

  • Received:1900-01-01 Revised:1900-01-01 Online:2006-04-20 Published:2006-04-20

Abstract: An analysis of the demixing matrixs dynamic changing in available blind source separation algorithms with an unknown number of sources is made and the conclusion that it is the redundant movement of demixing matrix in some equivalent class which cases the divergence is drawn. By canceling the redundant component of the natural gradient in an orthogonal projection approach, a new algorithm is developed, which overcomes the weak point of being unable to converge stably. Finally, simulation proves the capacity to perform the blind source separation with an unknown number of sources and the convergent stability of the new algorithm.

Key words: blind source separation, orthogonal projection, natural gradient

CLC Number: 

  • TN911.23