DOA estimation with high resolution based on nested array
LIU Lu-tao
HAN Li
ZHANG Ming
ZHANG Hang
Abstract：In order to solve the problem that the resolution of nested array for adjacent signals is limited by such factors as signal to noise ratio (SNR)and number of snapshots,a weighted subspace smoothing MUSIC algorithm was proposed based on the nested array.The covariance matrix was vectorized in the algorithm to improve the degrees of freedom of whole array.The spatial smoothing was used to recovery the rank of newly received data vector matrix,and the corrected noise eigenvalues were adopted to weight the noise subspace.In addition,the spatial spectrum of signal subspace was synthesized,and the spatial spectrum function of new algorithm was obtained.Through searching the maximum value of spatial spectrum function,the DOA estimation was realized.The results show that under the condition of low SNR and small number of snapshots,the algorithm has high resolution of signals with relatively close interval.
Keywords：nested arraycovariance matrixvectorizationdegrees of freedomspatial smoothingweightingDOA estimationhigh resolution
Publication Date：2016-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 531-536 )