A Novel Hybrid Algorithm for Equalization of WBAN Channel

Abstract:

Equalization technology is important in WBAN channels for resolving ISI problem. However, traditional algorithms, such as LMS and RBF are not suitable to be applied in WBAN channel, due to the fact that channels of WBAN are particularly time variable and have severe multipath effect. In this study, we proposed a novel hybrid algorithm by combining NFN and RBFN algorithms. Experimental results show better performance compared to both NFN and RBFN algorithms in prediction problem in WBAN Channels.

• Periodical: Applied Mechanics and Materials (Volumes 543-547)
• Pages: 1868-1871
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.543-547.1868
• Online since: March 2014
• Authors: Yong Gang Xie*, Dong Ya Shen
• Keywords: Channel Equalizer, NFN Algorithms, RBFN Algorithms, Signal Prediction, WBAN

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