Title :
Gibbs sampling based parameter estimation for RSC sub-codes of turbo codes
Author :
Peidong Yu ; Jing Li ; Hua Peng
Author_Institution :
Zhengzhou Inst. of Inf. Sci. & Technol., Zhengzhou, China
Abstract :
This paper deals with the Bayesian parameter estimation for recursive convolutional sub-codes of turbo codes. A Monte Carlo method named Gibbs sampling is employed for this problem. The involved conditional probabilities of the encoder coefficients and the coded sequences are derived. Simulation results show that the proposed algorithm improves the estimation accuracy substantially.
Keywords :
Bayes methods; Monte Carlo methods; recursive estimation; turbo codes; Bayesian parameter estimation; Gibbs sampling; Monte Carlo method; RSC subcodes; coded sequences; conditional probabilities; encoder coefficients; estimation accuracy; recursive convolutional subcodes; turbo codes; Bayes methods; Convolution; Convolutional codes; Estimation; Parameter estimation; Signal processing algorithms; Turbo codes; Gibbs sampling; error correcting coding; parameter estimation; recursive systematic convolutional (RSC) code; turbo code;
Conference_Titel :
Wireless Communications and Signal Processing (WCSP), 2014 Sixth International Conference on
Conference_Location :
Hefei
DOI :
10.1109/WCSP.2014.6992195
