An efficient subspace approximation method based on multi-stage wiener filter

  • Authors:

  • Zhiqiang Bao;Shunjun Wu;Linrang Zhang

  • Affiliations:

  • Key Lab of Radar Signal Processing, Xidian University, Xi'an, China;Key Lab of Radar Signal Processing, Xidian University, Xi'an, China;Key Lab of Radar Signal Processing, Xidian University, Xi'an, China

  • Venue:
  • SPPRA'06 Proceedings of the 24th IASTED international conference on Signal processing, pattern recognition, and applications
  • Year:
  • 2006

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Abstract

Subspace-based methods for estimating the direction of arrival are very important due to their high-resolution abilities. In this paper, a fast and efficient method based on the multi-stage wiener filter technique to estimate subspace is proposed, which doesn't require the training or reference signal. Firstly, the fact that the match filters of multi-stage wiener decomposition can span the signal subspace is simply proved. Then, a more efficient subspace approximation method is obtained. Compared with the classical eigen-vector decomposition (EVD) based method, the proposed method has less computation complexity with the approximation performance. The simulation results demonstrate its effectiveness and robustness.