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

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概要

• 論文の詳細を見る

• 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 thee 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.

• （社）電子情報通信学会の論文
• 2008-06-01

著者

• Chang Ching-su

  National Taipei University Of Technology

• Huang San-yuan

  National Taipei University Of Technology

• TAN Tan-Hsu

  National Taipei University of Technology

• HUANG Yung-Fa

  Chaoyang University of Technology

関連論文

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

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