IEICE TRANSACTIONS on Fundamentals
Optimizing Markov Model Parameters for Asynchronous Impulsive Noise over Broadband Power Line Communication Network
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
Authors
Keyword
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Tan-Hsu TAN, San-Yuan HUANG, Ching-Su CHANG, Yung-Fa HUANG, "Optimizing Markov Model Parameters for Asynchronous Impulsive Noise over Broadband Power Line Communication Network" in IEICE TRANSACTIONS on Fundamentals,
vol. E91-A, no. 6, pp. 1533-1536, June 2008, doi: 10.1093/ietfec/e91-a.6.1533.
Abstract: 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.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1093/ietfec/e91-a.6.1533/_p
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@ARTICLE{e91-a_6_1533,
author={Tan-Hsu TAN, San-Yuan HUANG, Ching-Su CHANG, Yung-Fa HUANG, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Optimizing Markov Model Parameters for Asynchronous Impulsive Noise over Broadband Power Line Communication Network},
year={2008},
volume={E91-A},
number={6},
pages={1533-1536},
abstract={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.},
keywords={},
doi={10.1093/ietfec/e91-a.6.1533},
ISSN={1745-1337},
month={June},}
Copy
TY - JOUR
TI - Optimizing Markov Model Parameters for Asynchronous Impulsive Noise over Broadband Power Line Communication Network
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1533
EP - 1536
AU - Tan-Hsu TAN
AU - San-Yuan HUANG
AU - Ching-Su CHANG
AU - Yung-Fa HUANG
PY - 2008
DO - 10.1093/ietfec/e91-a.6.1533
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E91-A
IS - 6
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - June 2008
AB - 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.
ER -
English
