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A Novel Channel Equalizer Using Large Margin Algebraic Perceptron Network

Priti R. Hathy 1, Sasmita K. Padhy 2, Siba P. Panigrahi 3, and Prashant K. Patra 4
1. Womens Polytechnic/CA, Bhubaneswar, India
2. ITER (SOA)/IT, Bhubaneswar, India
3. KEC/EE, Bhubaneswar, India
4. CET/CSE, Bhubaneswar, India

Abstract- This paper proposes a novel control scheme for channel equalization for wireless communication system. The proposed scheme considers channel equalization as a classification problem. For efficient solution of the problem, this paper makes use of a neural network working on Algebraic Perceptron (AP) algorithm as a classifier. Also, this paper introduces a method of performance improvement by increasing margin of AP equalizers. Novelty of the proposed scheme is evidenced by its simulation results.

Index Terms—Neural Networks, Algebraic Perceptron, Signal Recovery, Channel equalization

Cite: Priti R. Hathy, Sasmita K. Padhy, Siba P. Panigrahi, and Prashant K. Patra , "A Novel Channel Equalizer Using Large Margin Algebraic Perceptron Network," Journal of Communications, vol. 5, no. 8, pp.637-645, 2010. Doi: 10.4304/jcm.5.8.637-645


 

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