Nonstationary DOA 추정을 위한 VFF-PASTd = VFF-PASTd for Nonstationary DOA Estimation

다국어 초록 (Multilingual Abstract)

In this paper we propose a new subspace tracking algorithm based on the PASTd(Projection Approximation Subspace Tracking with deflation). The algorithm is obtained via introducing the variable forgetting factor which adapts itself to the time varying subspace environments. The tracking capability of the proposed algorithm is demonstrated by simulations in an abruptly changing DOA(Direct of Arrival) scenario. The estimation results of the variable forgetting factor PASTd outperform those of the PASTd in the nonstationary case as well as in the stationary case.

국문 초록 (Abstract)

본 논문에서는 PASTd에 기반 한 부공간 추정 알고리즘을 제안한다. 제안된 알고리즘은 시변 부공간 환경에서 스스로 적응하는 가변망각인자를 도입하였고, 알고리즘의 추정 성능은 제안된 알고리즘과 DOA 목표를 가진 시나리오에서 비교하였다. 정재 비정재 상황에서 VFF-PASTd의 성능 결과를 보이고자한다.

참고문헌 (Reference)

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