A novel approach for DOA estimation in unknown correlated noise fields |
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Authors: | Yi Zhou Dazheng Feng Jianqiang Liu |
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Affiliation: | National Key Laboratory for Radar Signal Processing,Xidian Univesity,Xi'an 710071,China |
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Abstract: | The key 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, a novel approach for the estimation of DOA in unknown correlated noise fields is proposed in this paper. The approach is based on the biorthogonality between a matrix and its Moore-Penrose pseudo inverse, and made no assumption on the spatial covariance matrix of the noise. The approach exploits the structural information of a set of spatio-temporal correlation matrices, and it can give a robust and precise estimation of signal subspace, so a precise estimation of DOA is obtained. Its performances are confirmed by computer simulation results. |
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Keywords: | Array signal processing Correlated noise Signal subspace Direction Of Arrival (DOA) estimation Spatio-temporal correlation matrices |
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