Equalization of a wireless ATM channel with simplified complex bilinear recurrent neural network

Authors:
Dong Chul-Park;Duc-Hoai Nguyen;Sang Jeen Hong;Yunsik Lee
Affiliations:
ICRL, Dept. of Info. Eng., Myong Ji University, Korea;ICRL, Dept. of Info. Eng., Myong Ji University, Korea;ICRL, Dept. of Info. Eng., Myong Ji University, Korea;SoC Research Center, Korea Electronics Tech. Inst., Seongnam, Korea
Venue:
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part I
Year:
2005

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Abstract

A new equalization method for a wireless ATM communication channel using a simplified version of the complex bilinear recurrent neural network (S-CBLRNN) is proposed in this paper. The S-BLRNN is then applied to the equalization of a wireless ATM channel for 8PSK and 16QAM. The results show that the proposed S-CBLRNN converges about 40 % faster than the CBLRNN and gives very favorable results in both of the MSE and SER criteria over the other equalizers.