An alternative approach to coherent source location problem
Signal Processing
Matrix analysis and applied linear algebra
Matrix analysis and applied linear algebra
Instrumental variable approach to array processing in spatiallycorrelated noise fields
IEEE Transactions on Signal Processing
Array processing in correlated noise fields based on instrumentalvariables and subspace fitting
IEEE Transactions on Signal Processing
Bi-iteration recursive instrumental variable subspace tracking andadaptive filtering
IEEE Transactions on Signal Processing
Detection and estimation in sensor arrays using weighted subspacefitting
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Improved angular resolution for spatial smoothing techniques
IEEE Transactions on Signal Processing
Simple and efficient cross-correlation method for estimating 2-D direction of arrival
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
International Journal of Data Analysis Techniques and Strategies
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In this paper, we present a new two-dimensional (2-D) direction-of-arrival (DOA) angle estimation method for coherent or highly correlated narrowband signals using L-shape arrays. The proposed method decorrelates the coherent incident signals and reconstructs the signal subspace using the cross-correlation matrix. Then the shift invariance property of the array geometry is employed to estimate the azimuth and elevation angles. This approach enables the 2-D DOA estimation without the use of peak search and is robust to noise. Moreover, we extend the proposed forward method to the forward/backward one. Experimental results demonstrate that satisfactory performances of the proposed methods are obtained for correlated signals in the low signal-to-noise ratio (SNR) situations and with small number of snapshots.