DocumentCode :
3345435
Title :
Blind estimation using higher-order cumulants
Author :
Lai, W.K. ; Ching, P.C.
Author_Institution :
Dept. of Electron. Eng., Chinese Univ. of Hong Kong, Shatin, Hong Kong
Volume :
3
fYear :
1995
fDate :
30 Apr-3 May 1995
Firstpage :
2261
Abstract :
This paper presents a higher-order cumulant based blind estimation algorithm for estimating the channel matrix in a n-sensor-m-source system under a noisy environment. The output from an array of n spatially separated sensors is the only available information that can be used to derive the channel parameters. The algorithm requires neither the additive Gaussian noise to be white nor the number of sensors to be greater than the number of sources. We first evaluate the higher-order cumulant matrix from the sensor outputs, and the number of sources is then deduced from the rank of the matrix. Subsequently, by using the cumulant properties for independent sources, a permuted and scaled channel matrix is obtained. Simulation results illustrate the validity and potential applications of the method
Keywords :
Gaussian noise; direction-of-arrival estimation; higher order statistics; telecommunication channels; additive Gaussian noise; blind estimation; channel matrix; channel parameters; higher-order cumulants; independent sources; n-sensor-m-source system; noisy environment; scaled channel matrix; spatially separated sensors; Additive noise; Blind equalizers; Colored noise; Data mining; Direction of arrival estimation; Gaussian noise; Sensor arrays; Source separation; Speech; Working environment noise;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 1995. ISCAS '95., 1995 IEEE International Symposium on
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-2570-2
Type :
conf
DOI :
10.1109/ISCAS.1995.523879
Filename :
523879
Link To Document :
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