Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/24
Title: Non-linear channel equalization using computationally efficient neuro-fuzzy channel equalizer
Authors: Sahu, P K
Patra, S K
Panigrahi, S P
Keywords: computational complexity
fuzzy neural nets
AWGN Channels
Issue Date: Dec-2002
Publisher: IEEE
Citation: IEEE International Conference on Personal Wireless Communications, 15-17 Dec. 2002, New Delhi, India, P 16 -19
Abstract: The paper investigates the problem of channel equalization in digital cellular radio (DCR). These channels are affected by intersymbol interference (ISI) with non-linearity in the presence of additive white Gaussian noise (AWGN). We propose a computationally efficient neuro-fuzzy system based equalizer for use in communication channels with these anomalies. This equalizer performs close to the optimum maximum a-posteriori probability (MAP) equalizer with a substantial reduction in computational complexity and can be trained with a supervised scalar clustering algorithm. These features can make the equalizer very suitable for mobile communication applications. Simulation studies indicate that this equalizer performs close to the optimal equalizer.
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URI: http://hdl.handle.net/2080/24
Appears in Collections:Conference Papers

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