Title :
Equalization performance of chaos-based communication systems
Author :
Fen, Jiuchao ; Xie, Shengli
Author_Institution :
Sch. of Electron. & Inf. Eng., South China Univ. of Technol., Guangzhou, China
fDate :
31 May-2 June 2004
Abstract :
The channel equalization for chaotic communication systems is studied in this paper. A channel equalizer is designed and realized by a modified recurrent neural network (RNN) which incorporates a training (equalization) algorithm for eliminating channel distortions. Results from computer simulations demonstrate the effectiveness of the equalizer as applied to a chaotic communication system.
Keywords :
chaotic communication; equalisers; neural nets; telecommunication channels; telecommunication computing; channel equalization; chaos-based communication system; recurrent neural network; training algorithm; AWGN; Additive white noise; Algorithm design and analysis; Artificial neural networks; Chaotic communication; Equalizers; Gaussian noise; History; Recurrent neural networks; Working environment noise;
Conference_Titel :
Emerging Technologies: Frontiers of Mobile and Wireless Communication, 2004. Proceedings of the IEEE 6th Circuits and Systems Symposium on
Print_ISBN :
0-7803-7938-1
DOI :
10.1109/CASSET.2004.1322947
