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