Abstract
A novel computational efficient direction of arrival (DOA) estimation algorithm using multi-stage Wiener filter (MSWF) and polynomial rooting is proposed. The signal subspace is obtained using MSWF, which avoid the known of desired signal, the estimation of data covariance matrix and its eigen-decomposition. Then, a new polynomial rooting based on the estimated signal subspace is adopted to realize DOA estimation. Therefore, comparing with the conventional DOA estimation algorithms, the proposed algorithm has smaller computational complexity. The correctness and effectiveness of the proposed method are verified by computer simulation results.
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