DocumentCode :
178585
Title :
Estimating the number of signals in the presence of nonuniform noise
Author :
Diversi, Roberto ; Guidorzi, Roberto ; Soverini, Umberto
Author_Institution :
Dept. of Electr., Electron. & Inf. Eng. (DEI), Univ. of Bologna, Bologna, Italy
fYear :
2014
fDate :
4-9 May 2014
Firstpage :
2967
Lastpage :
2971
Abstract :
An important problem in sensor array processing is the estimation of the number of transmitted signals. Most of the proposed solutions rely on the assumption of uniform additive white noise on the measured signals. In this paper, an approach for estimating the number of sources in the presence of nonuniform white noise is proposed. The method is based on the computation of the maximal corank of the covariance matrix of the noisy data in the Frisch scheme context. The effectiveness of the method is tested by means of Monte Carlo simulations.
Keywords :
Monte Carlo methods; array signal processing; covariance matrices; white noise; Frisch scheme context; Monte Carlo simulations; covariance matrix; maximal corank; noisy data; nonuniform white noise; sensor array processing; uniform additive white noise; Arrays; Covariance matrices; Estimation; Noise measurement; Signal to noise ratio; Frisch scheme; Source number estimation; nonuniform additive noise; sensor array processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
Conference_Location :
Florence
Type :
conf
DOI :
10.1109/ICASSP.2014.6854144
Filename :
6854144
Link To Document :
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