The Journal of the Korea institute of electronic communication sciences (한국전자통신학회논문지)

Korea Institute of Electronic Communication Science (한국전자통신학회)
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Initial Weighting Establishment Through Eigenanalysis for BSS in Two-by-two Delayed Mixture

2×2지연 혼합에서의 암문신호처리를 위한 고유값분석을 통한 초기값 설정

  • Received : 2013.08.22
  • Accepted : 2013.10.23
  • Published : 2013.10.31
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Abstract

This paper propose a method for fast convergence technique in frequency domain independent component analysis (FDICA) using eigenanalysis. It important, such as SONAR system, to eliminate the interference sources through fast algorithm. Through eigenanalysing a two-by-two delayed mixture case, information of delay can be used for initial weighting parameters. Simulations show the improved performances in convergence speed and noise rejection rate. The proposed method can present close weights for optimal convergence, noise can be diminished drastically about 3 times epoch, and get the better resultss with 1~3dB than the conventional method.

본 논문은 고유값분석을 이용하여 주파수영역 독립성분석(FDICA)의 수렴속도를 증가시키기 위한 기법을 제안한다. 소나 시스템 등에서는 지연정보를 획득하여 간섭신호원을 빠른 속도로 제거하는 알고리즘이 중요하다. 두 개의 독립신호가 $2{\times}2$ 지연 혼합된 경우에 대한 고유값 분석을 통하여, 초기값 파라미터로 사용할 지연정보를 획득할 수 있다. 본 알고리즘을 검증하기 위한 컴퓨터 시뮬레이션은 수렴속도와 잡음제거에서의 성능향상을 보여준다. 초기조건이 목표값에 근접하고 있기 때문에 3회 정도의 반복수렴 실험으로도 잡음제거에 상당한 성능을 나타낸다. 수렴 후에도 기존 알고리즘보다 1~3dB 더 나은 잡음제거 성능을 볼 수 있다.

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References

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