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| A Novel Approach to DOA Estimation |
| Zhou Yi; Feng Da-zheng; Liu Jian-qiang |
| National Key Laboratory for Radar Signal Processing, Xidian Univ., Xi'an 710071, China |
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Abstract The key issue of the subspace-based Direction Of Arrival (DOA) estimation lies in the estimation of signal subspace with high quality. In the case of uncorrelated signals while the signals are temporally correlated ones, a novel approach for estimation of DOA in unknown correlated noise fields is proposed. Based on the biorthogonality between a matrix and its Moore-Penrose pseudo-inverse, the proposed method makes no assumptions on the spatial covariance matrix of the noise. The approach exploits the structural information of a set of spatio-temporal correlation matrices, and gives a robust and precise estimation of signal subspace to obtain a precise estimation of DOA. The performances are confirmed by computer simulation results.
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Received: 05 April 2004
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2005, Vol. 27 
