Time-Varying Subspace Tracking Algorithm for Nonstationary DOA Estimation in Passive Sensor Array

  • Lim, Junseok (Department of Electronics Engineering, Sejong University) ;
  • Song, Joonil (School of Electrical Engineering, Seoul National University) ;
  • Pyeon, Yongkug (Department of Electronics Engineering, Sejong University) ;
  • Sung, Koengmo (School of Electrical Engineering, Seoul National University)
  • Published : 2001.03.01

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 computer simulations in an abruptly changing DOA scenario. The estimation results of the variable forgetting factor PASTd(VFF-PASTd) outperform those of the PASTd in the nonstationary case as well as in the stationary case.

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