DocumentCode :
2307716
Title :
Comparative performance analysis of eight blind source separation methods on radiocommunications signals
Author :
Chevalier, Pascal ; Albera, Laurent ; Comon, Pierre ; Ferréol, Anne
Author_Institution :
Thales-Communications, Colombes, France
Volume :
1
fYear :
2004
fDate :
25-29 July 2004
Lastpage :
278
Abstract :
For about two decades, many second order (SO) and fourth order (FO) blind methods have been developed to separate overdetermined mixtures of statistically independent narrowband (NB) sources. Besides, mainly to overcome some limitations of these methods, sixth order methods have been developed. Nevertheless, despite of this great number of methods, the performance of the latter for arbitrary electromagnetic sources are still almost unknown, which limits their use in operational contexts. The purpose of this paper is to fill the gap previously mentioned by presenting a comparative performance analysis of eight blind source separation (BSS) methods for arbitrary overdetermined mixtures of sources borrowed from the radiocommunications context, and to show off both the advantages and the drawbacks of these methods.
Keywords :
blind source separation; arbitrary overdetermined mixtures; blind source separation method; comparative performance analysis; radiocommunications signal; Blind source separation; Gaussian noise; Niobium; Performance analysis; Phase noise; Phased arrays; Sensor arrays; Source separation; Statistics; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 2004. Proceedings. 2004 IEEE International Joint Conference on
ISSN :
1098-7576
Print_ISBN :
0-7803-8359-1
Type :
conf
DOI :
10.1109/IJCNN.2004.1379913
Filename :
1379913
Link To Document :
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