利用数据最小冗余拟合的信源数估计方法

doi:10.3969/j.issn.1001-2400.2012.04.010

Abstract

Abstract:

To alleviate the performance deterioration in the estimation of the number of sources with a low signal-to-noise ratio and/or secondary data deficient scenario, a new method based on the minimum redundancy fitting test is presented. The approach is performed in three stages. First, we employ a subspace tracking algorithm to calculate the one-dimensional noise subspace, and then a redundant array steer matrix is obtained based on the spatial spectrum which corresponds to the noise subspace. Redundant steer vectors are removed via minimum redundancy fitting and the number of sources is obtained. The effectiveness of the presented algorithm is verified by numerical simulation.

Key words: array signal processing, AIC criteria, MDL criteria, source number estimation

YANG Zhiwei;HE Shun;ZHANG Juan;XU Qing. Estimation of the number of sources via minimal redundancy fitting[J].J4, 2012, 39(4): 52-56.

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Estimation of the number of sources via minimal redundancy fitting

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