The Journal of the Acoustical Society of Korea (한국음향학회지)

The Acoustical Society of Korea (한국음향학회)
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Performance of covariance matrix fitting-based direction-of-arrival estimation algorithm using compressed sensing in the frequency domain

주파수 영역에서 공분산 행렬 fitting 기반 압축센싱 도래각 추정 알고리즘의 성능

  • ;
  • 백지웅 (세종대학교 정보통신공학과) ;
  • 홍우영 (세종대학교 국방시스템공학과) ;
  • 안재균 (국방과학연구소) ;
  • 김성일 (국방과학연구소) ;
  • 이준호 (세종대학교 정보통신공학과)
  • Received : 2017.09.21
  • Accepted : 2017.11.29
  • Published : 2017.11.30
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Abstract

This paper shows the extension of SpSF (Sparse Spectrum Fitting) algorithm, which is one of covariance matrix fitting-based DOA (Direction-of-Arrival) estimation algorithms, from the time domain to the frequency domain, and presents that SpSF can be implemented in the frequency domain. The superiority of the SpSF algorithm has been demonstrated by comparing DOA estimation performance with the performance of Conventional DOA estimation algorithm in the frequency domain for sinusoidal incident signals.

본 논문은 기존의 시간영역에서 다루던 공분산 행렬 fitting 기반 도래각 추정 알고리즘인 SpSF(Sparse Spectrum Fitting)를 주파수 영역으로 확장함으로써 기존의 시간영역의 SpSF 알고리즘이 주파수 영역에서도 구현 가능함을 보인다. 기존의 주파수 영역에서 구현되는 도래각 추정 알고리즘과의 성능 분석 및 비교를 통해 압축센싱 기반 공분산 fitting 알고리즘인 SpSF의 우수함을 보여준다.

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References

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