Phonetics and Speech Sciences (말소리와 음성과학)

Korean Society of Speech Sciences (한국음성학회)
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Target signal detection using MUSIC spectrum in noise environments

MUSIC 스펙트럼을 이용한 잡음환경에서의 목표 신호 구간 검출

  • 박상준 (한국과학기술원 전기 및 전자공학과) ;
  • 정상배 (경상대학교 전자공학과(공학연구원))
  • Received : 2012.08.03
  • Accepted : 2012.09.17
  • Published : 2012.09.30
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Abstract

In this paper, a target signal detection method using multiple signal classification (MUSIC) algorithm is proposed. The MUSIC algorithm is a subspace-based direction of arrival (DOA) estimation method. Using the inverse of the eigenvalue-weighted eigen spectra, the algorithm detects the DOAs of multiple sources. To apply the algorithm in target signal detection for GSC-based beamforming, we utilize its spectral response for the DOA of the target source in noisy conditions. The performance of the proposed target signal detection method is compared with those of the normalized cross-correlation (NCC), the fixed beamforming, and the power ratio method. Experimental results show that the proposed algorithm significantly outperforms the conventional ones in receiver operating characteristics (ROC) curves.

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References

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