Name
Title | ||
|---|---|---|
Optimizing Markov Model Parameters for Asynchronous Impulsive Noise over Broadband Power Line Communication Network |
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. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1093/ietfec/e91-a.6.1533 | IEICE Transactions |
Keywords | DocType | Volume |
simplex method,broadband power line communication,partitioned markov-chains model,asynchronous impulsive noise,experimental data statistic,estimation scheme,statistical model,model parameter,optimizing markov model parameters,proposed scheme yields estimate,genetic algorithm,power line communication,time domain,markov chain model,impulse noise,markov model | Journal | E91-A |
Issue | ISSN | Citations |
6 | 0916-8508 | 0 |
PageRank | References | Authors |
0.34 | 4 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tan-Hsu Tan | 1 | 205 | 26.92 |
| San-Yuan Huang | 2 | 1 | 1.05 |
| Ching-Su Chang | 3 | 21 | 3.78 |
| Yung-Fa Huang | 4 | 262 | 49.47 |