A sparse decomposition perspective for incoherently distributed source localization
Wu Ying · Journal of Circuits and Systems · 2013
The paper propose a novel direction of arrival estimation algorithm for incoherently distributed source,which exploits sparse decomposition perspective on the basis of the sparse characteristic of space signals.According to the characteristics of covariance matrix structure,the phase information matrix extracted from covariance matrix is rebuilt.Vectorizing the phase information matrix,the direction of arrival is obtained based on the sparse decomposition model.Compared with earlier algorithms,the proposed method has better estimation accuracy and resolution without the need of knowing angular power density,and it has a better robust performance in snapshot deficient scenario.Numerical examples illustrate the performance of the method.