An Efficient Subspace Approximation Method based on Multi-Stage Wiener Filter

Z. Bao, S. Wu, and L. Zhang (PRC)


Array signal processing, Multi-stage wiener filter, Direction of arrival


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.

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