A Square-Root Forward Backward Correlation-based Projection Approximation for Subspace Tracking

신호부공간 추정 성능 향상을 위한 전후방 상관과 제곱근행렬 갱신을 이용한 COPAST(correlation-based projection approximation for subspace-tracking) 알고리즘 연구

  • Lim, June-Seok (Dept. of Electronics Eng., Sejong University) ;
  • Pyeon, Yong-Kug (Dept. of Information & Communication, GangWon Provincial College)
  • 임준석 (세종대학교 전자공학과) ;
  • 편용국 (강원도립대학 정보통신과)
  • Received : 2010.10.01
  • Accepted : 2011.02.21
  • Published : 2011.03.25


In this paper, we propose a correlation-based subspace estimation technique, which is called square-root forward/backward correlation-based projection approximation subspace tracking(SRFB-COPAST). The SRFB-COPAST utilizes the forward and backward correlation matrix as well as square-root recursive matrix update in projection approximation approach to develop the subspace tracking algorithm. With the projection approximation, the square-root recursive FB-COPAST is presented. The proposed algorithm has the better performance than the recently developed COPAST method.


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