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  

IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences   Vol.E91-A   No.6   pp.1533-1536
Publication Date: 2008/06/01
Online ISSN: 1745-1337
DOI: 10.1093/ietfec/e91-a.6.1533
Print ISSN: 0916-8508
Type of Manuscript: LETTER
Category: Numerical Analysis and Optimization
broadband power line communication,  asynchronous impulsive noise,  partitioned Markov-chains model,  simplex method,  genetic algorithm,  

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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.