DOA Estimation of Coherent Signals Based on Unknown Source Number
ZOU Shixiang
LIN Ming
Abstract：Aiming at the estimation of source number estimation algorithm requires accurate spectrum multiple signal classifi?cation algorithm such as most space,and when the error performance is easily affected by the problem of source number estimation, a subspace decomposition and independent optimization estimation algorithm based on the covariance matrix of the constraints through the construction of new matrix is proposed. The minimum feature based on the expected direction and the correlation matrix of optimal weight vector corresponding feature vectors,the algorithm preprocess the two matrices,the imaginary number matrix into real valued matrix,and then derives the spatial spectrum using the roots of the way in the peak search. The algorithm does not need the signal source number,and its performance is comparable to that of MUSIC. It has the ability to decoherence,can estimate the coherent signal accurately,and still has good resolution in the case of small snapshots.
Keywords：source numberrealrootscoherencethe number of snapshots
Publication Date：2019-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 2446-2450 )