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

Author

Tan, Tan-Hsu ; Chang, Wen-Whei

Author_Institution

Dept. of Commun. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan

Volume

3

fYear

1996

fDate

15-18 Oct 1996

Firstpage

1226

Abstract

Errors encountered in digital mobile radio channels are not independent but exhibit varying degrees of statistical dependencies. In many mobile applications, Gilbert´s (1960) 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

Keywords

Markov processes; burst noise; convergence of numerical methods; digital radio; error statistics; land mobile radio; multipath channels; parameter estimation; simulated annealing; Gilbert´s model parameters; bursty noise binary channels; channel errors; convergence rate; digital mobile radio channels; estimation method; experimental results; finite-state Markov chain model; gradient iterative method; identification; multipath propagation; parameter estimation; sample error sequences; simulated annealing method; statistical dependencies; Computational modeling; Convergence; Cost function; Error correction; Gradient methods; Iterative algorithms; Iterative methods; Land mobile radio; Parameter estimation; Simulated annealing;

fLanguage

English

Publisher

ieee

Conference_Titel

Personal, Indoor and Mobile Radio Communications, 1996. PIMRC'96., Seventh IEEE International Symposium on

Conference_Location

Taipei

Print_ISBN

0-7803-3692-5

Type

conf

DOI

10.1109/PIMRC.1996.568479

Filename

568479