Estimation of Gilbert's model parameters using the simulated annealing method

Tan Hsu Tan; Wen-Whei Chang

doi:10.1109/PIMRC.1996.568479

Estimation of Gilbert's model parameters using the simulated annealing method

Tan Hsu Tan^*, Wen-Whei Chang

^*Corresponding author for this work

Department of Electrical and Computer Engineering

Research output: Contribution to conference › Paper › peer-review

1 Scopus citations

Abstract

Errors encountered in digital mobile radio channels are not independent but exhibit varying degrees of statistical dependencies. In many mobile applications, Gilbert's finite-state Markov chain model has been shown to adequately characterize the bursty-noise binary channels. An estimation method based on the simulated annealing algorithm is proposed for computing the model parameters from the sample error sequences. Experimental results indicate that the simulated annealing method yields more accurate identification at a faster convergence rate for comparison with the gradient iterative method.

Original language	English
Pages	1226-1229
Number of pages	4
DOIs	https://doi.org/10.1109/PIMRC.1996.568479
State	Published - 18 Oct 1996
Event	Proceedings of the 1996 7th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC'96. Part 3 (of 3) - Taipei, Taiwan Duration: 15 Oct 1996 → 18 Oct 1996

Conference

Conference	Proceedings of the 1996 7th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC'96. Part 3 (of 3)
City	Taipei, Taiwan
Period	15/10/96 → 18/10/96

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10.1109/PIMRC.1996.568479

Cite this

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title = "Estimation of Gilbert's model parameters using the simulated annealing method",

abstract = "Errors encountered in digital mobile radio channels are not independent but exhibit varying degrees of statistical dependencies. In many mobile applications, Gilbert's finite-state Markov chain model has been shown to adequately characterize the bursty-noise binary channels. An estimation method based on the simulated annealing algorithm is proposed for computing the model parameters from the sample error sequences. Experimental results indicate that the simulated annealing method yields more accurate identification at a faster convergence rate for comparison with the gradient iterative method.",

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AB - Errors encountered in digital mobile radio channels are not independent but exhibit varying degrees of statistical dependencies. In many mobile applications, Gilbert's finite-state Markov chain model has been shown to adequately characterize the bursty-noise binary channels. An estimation method based on the simulated annealing algorithm is proposed for computing the model parameters from the sample error sequences. Experimental results indicate that the simulated annealing method yields more accurate identification at a faster convergence rate for comparison with the gradient iterative method.

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M3 - Paper

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ER -

Estimation of Gilbert's model parameters using the simulated annealing method

Abstract

Conference

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