Frequency estimation and synchronization of frequency hopping signals based on reversible jump MCMC

Author

Liang, Junli ; Gao, Li ; Yang, Shuyuan

Author_Institution

Inst. of Acousti., Chinese Acad. of Sci., Beijing, China

fYear

2005

fDate

13-16 Dec. 2005

Firstpage

589

Lastpage

592

Abstract

A reversible jump Markov chain Monte Carlo (RJMCMC)-based algorithm for frequency estimation and synchronization of frequency hopping signals is proposed in this paper. By using a two-hop signal model that incorporates the unknown hop transition time, an original Bayesian model of the received frequency hopping signals is formulated. We develop an efficient stochastic algorithm based on RJMCMC methods to perform the Bayesian computation. Some simulated examples are presented to illustrate the algorithm´s performance.

Keywords

Bayes methods; Markov processes; Monte Carlo methods; frequency estimation; frequency hop communication; matrix algebra; synchronisation; Bayesian model; frequency estimation; frequency hopping signals; reversible jump Markov chain Monte Carlo; stochastic algorithm; synchronization; two-hop signal model; Bayesian methods; Computational modeling; Frequency estimation; Frequency synchronization; Inference algorithms; Medical simulation; Monte Carlo methods; Spread spectrum communication; Stochastic processes; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Signal Processing and Communication Systems, 2005. ISPACS 2005. Proceedings of 2005 International Symposium on

Print_ISBN

0-7803-9266-3

Type

conf

DOI

10.1109/ISPACS.2005.1595478

Filename

1595478