An approach of estimating DOA for coherent signals from moving sources
Juan Chen · Applied science and technology · 2008
As the direction of coherent signal source varies with time,we proposed a tracking method based on particle swarm algorithm after an analysis of renewal of sample's covariance matrix. With the direct application of maximum likelihood algorithm,it can avoid the pretreatment of the covariance matrix with the spatial smoothing method,and the decompositions of the covariance matrix which otherwise should be repeated in the methods based on subspace tracking. Furthermore,it can substantially reduce the computational effort of maximum likelihood algorithm by locking the targets,shrinking the search region and using group intelligent searching. Simulation results show that, compared with the methods based on subspace tracking,the proposed method has excellent ability to track coherent sources,with high precision performance and real-time property.