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Research and Improvement on the Estimator Using Gerschgorin Disks
盖氏圆准则信源数估计算法的分析与改进

Keywords: signals number estimator,gerschgorin radii,eigenvectors of correlation matrix,DOA estimation
信源数估计
,盖氏圆准则,特征空间,DOA估计

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Abstract:

In order to reduce the computer burden of Gerschgorin radii estimator,according to orthogonal property of noise subspace to array manifold,presents a novel and effective algorithm(Estimator Based on Eigenvectors,EBE).EBE exploits the correlation property of colored noise in time to restrain it through constructing a novel time-space correlation matrix.Proves the validity of EBE theoretically and applies EBE successfully in computer simulation.In both environments of white gauss noise and colored noise EBE could estimate the number of incoming waves with less error than the estimator using Gerschgorin disks and some other signals number estimators designed for colored noise.EBE not only save the computer burden of one correlation matrix decomposition in Gerschgorin radii estimator,but also improve the performance of signals number estimation.

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