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Optimizing Markov Model Parameters for Asynchronous Impulsive Noise over Broadband Power Line Communication Network

Tan-Hsu TAN, San-Yuan HUANG, Ching-Su CHANG, Yung-Fa HUANG

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Summary :

A statistical model based on a partitioned Markov-chains model has previously been developed to represent time domain behavior of the asynchronous impulsive noise over a broadband power line communication (PLC) network. However, the estimation of its model parameters using the Simplex method can easily trap the final solution at a local optimum. This study proposes an estimation scheme based on the genetic algorithm (GA) to overcome this difficulty. Experimental results show that the proposed scheme yields estimates that more closely match the experimental data statistics.

Publication
IEICE TRANSACTIONS on Fundamentals Vol.E91-A No.6 pp.1533-1536
Publication Date
2008/06/01
Publicized
Online ISSN
1745-1337
DOI
10.1093/ietfec/e91-a.6.1533
Type of Manuscript
LETTER
Category
Numerical Analysis and Optimization

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