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Fourth-order cumulant based sources number estimation from mixtures of unknown number of sources

Gu, F, Li, W and Wang, W (2014) Fourth-order cumulant based sources number estimation from mixtures of unknown number of sources 2014 6th International Conference on Wireless Communications and Signal Processing, WCSP 2014.

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Abstract

© 2014 IEEE.We consider the source number estimation problem in the presence of unknown spatially nonuniform noise and underdetermined mixtures. We develop a new attractive source number estimator by replacing the covariance with the Fourth-Order (FO) cumulant of the observations. Furthermore, a Modified Minimum Description Length (MMDL) principle is proposed to reduce the divergence of the singular values corresponding to noise thereby improving the performance of the estimator. Simulation experiments validate the superiority of the proposed FO cumulant MMDL method to the conventional Minimum Description Length (MDL) method.

Item Type: Article
Authors :
NameEmailORCID
Gu, FUNSPECIFIEDUNSPECIFIED
Li, WUNSPECIFIEDUNSPECIFIED
Wang, Ww.wang@surrey.ac.ukUNSPECIFIED
Date : 1 January 2014
Identification Number : 10.1109/WCSP.2014.6992083
Depositing User : Symplectic Elements
Date Deposited : 17 May 2017 13:34
Last Modified : 17 May 2017 15:11
URI: http://epubs.surrey.ac.uk/id/eprint/839695

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