Spatial Difference Smoothing Algorithm for DOA Estimation of Coherent Sources in the Presence of Colored Noise Fields

A new algorithm is proposed for direction of arrival (DOA) estimation of coherent sources in the presence of colored noise fields,which is called “Spatial Difference Smoothing (SDS)” method.By exploiting the property of Teoplitz decomposition of the autocovariance matrix,the SDS method resolves the correlated sources and incoherent sources separately.In this way the output data of the array are used repeatedly,and more sources can be estimated.The SDS method can fully eliminate spatially colored noise,and fit for more general unknown noise fields and low SNR environments.Compared with the conventional methods,the SDS can resolve more sources using the same number of sensors.In addition,the SDS method performs spatial smoothing iteratively utilizing smaller sensor arrays and has smaller computational complexity.Computer simulation results verify the correctness and effectiveness of the proposed SDS method.