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Fast algorithm for coherent source number estimation

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In order to estimate the number of coherent sources, a Hankel matrix with the size of half the number of the received arrays is constructed using snapshot data of observed vectors. And the rank of the Hankel matrix is only related with the number of signal sources, no matter the signals are uncorrelated or coherent. We can get the signal and noise eigenvalues by conducting the singular value decomposition (SVD) to the Hankel matrix, the source number can be obtained by calculating the maximum ratio of each eigenvalue pair. The complexity of the algorithm is reduced greatly as only part of the observed data (single snapshot) is used. The Monte-Carlo simulation results demonstrate the feasibility of the algorithm.

source number estimationcoherent signalsHankel matrixsingle snapshot

LIU Kai、LI Hua

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Key Laboratory of Specialty Fiber Optics and Optical Access Networks, School of Communication and Information Engineering, Shanghai University, Shanghai 200072, P. R. China

Research and Innovation Project of Education Commission of Shanghai MunicipalityScience and Technology Commission of Shanghai MunicipalityShanghai Leading Academic Discipline Project

11YZ1408DZ2231100S30108

2011

上海大学学报(英文版)
上海大学

上海大学学报(英文版)

影响因子:0.196
ISSN:1007-6417
年,卷(期):2011.15(1)
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