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Sponsored by the Center for Science and Technology Development of the Ministry of Education
Supervised by Ministry of Education of the People's Republic of China
This paper proposes a new computationally efficient method for two-dimensional (2-D) direction-of-arrivals (DOAs) estimation of multiple correlated narrowband signals impinging on an L-shaped sensor array structured by two uniform linear arrays (ULAs). In the proposed method, the azimuth and evaluation angles are estimated independently from the cross-correlation matrices between the received data of two ULA subarrays by linear operation, and then the pair-matching of estimated azimuth and evaluation angles can be accomplished by using the correlation matrix of the combined received data of these subarrays. Since the eigen-decomposition is avoided, the proposed DOA estimation method has less computational complexity and better estimation performance than the existing methods. Furthermore the effectiveness of the proposed method is verified through numerical examples.
Keywords:Eigendecomposition;paring marching;sensor array processing;two-dimensional direction-of-arrival estimation;uniform linear array (ULA)