High resolution wideband DOA estimation based on modified MUSIC algorithm
Changsha（2008）
摘要
A modified MUSIC algorithm for DOA estimation was proposed in this paper. It weighted the eigenvectors in the noise subspace which decreased the proportion of the eigenvectors of the bigger eigenvalues and increased the proportion of the eigenvectors of the smaller eigenvalues. This method adjusted the specific gravity of the eigenvectors in the spatial spectrum, and it reduced the influence of subspace expanding to MUSIC method in the nonideal instance. Then it was exerted to the wideband DOA estimating. It greatly improved the resolution of wideband DOA estimation. Simulation results verified the improvements of wideband DOA estimation by applying the modified MUSIC algorithm.
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关键词
eigenvalues,subspace expanding,coherent signal-subspace method,modified music algorithm,direction-of-arrival,wideband doa estimation,specific gravity,music algorithm,density,direction-of-arrival estimation,eigenvectors,eigenvalues and eigenfunctions,matrix decomposition,high resolution,multiple signal classification,signal to noise ratio,gravity,music,direction of arrival,signal processing,spectrum,estimation,covariance matrix
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