DocumentCode :
1670617
Title :
New beamforming method based on radial- basis function neural network processing in SαSG distribution noise environments
Author :
Xuexia Li ; Jiuchao Feng
Author_Institution :
Southwest Univ. Chongqing, Chongqing
fYear :
2007
Firstpage :
107
Lastpage :
110
Abstract :
The under-determined problem of the blind source separation (BSS) for chaotic signals is intractable. A BSS algorithm is proposed and realized in this paper, which is also applied into a secret communication scheme. Both theoretical analysis and numerical simulations demonstrate that the proposed method is of higher security and precision for recovered source signals even when channel noise is very high.
Keywords :
blind source separation; chaotic communication; cryptography; noise; telecommunication security; BSS algorithm; BSS under-determined problem; BSS-based encryption system; blind separation method; channel noise; noisy mixed chaotic signals; secret communication scheme; Blind source separation; Chaos; Chaotic communication; Cryptography; Signal analysis; Signal generators; Signal processing; Signal processing algorithms; Source separation; Transmitters;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications, Circuits and Systems, 2007. ICCCAS 2007. International Conference on
Conference_Location :
Kokura
Print_ISBN :
978-1-4244-1473-4
Type :
conf
DOI :
10.1109/ICCCAS.2007.4348142
Filename :
4348142
Link To Document :
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