Abstract:

No utilization of the crosscorrelation information among the smoothed subarrays leads to the low resolution of polarization smoothing (PS) algorithms. An improved polarization smoothing algorithm of direction of arrival estimation for coherent sources is proposed, which is called the weighted polarization smoothing (WPS) algorithm. Full use of auto correlation and cross correlation of the subarrays consisting of six components of electromagnetic vector sensor array is performed in the WPS algorithm. An equivalent covariance matrix is obtained by a weighted sum of 36 sub-matrixes. The derivation of theoretical formula of optimal weighting coefficients and an analysis of the rank of the equivalent signal covariance matrix constrained by its diagonalization are accomplished. Simulation results show that the WPS algorithm has higher resolution and accuracy compared with the PS one.