基于Gibbs抽样的turbo码RSC子码参数估计

2014 Sixth International Conference on Wireless Communications and Signal Processing (WCSP) Pub Date : 2014-12-22 DOI:10.1109/WCSP.2014.6992195

Peidong Yu, Jing Li, Hua Peng

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引用次数: 6

摘要

研究了turbo码中递归卷积子码的贝叶斯参数估计问题。该问题采用了一种名为吉布斯抽样的蒙特卡罗方法。推导了编码系数和编码序列的条件概率。仿真结果表明，该算法大大提高了估计精度。

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Gibbs sampling based parameter estimation for RSC sub-codes of turbo codes

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.

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来源期刊

2014 Sixth International Conference on Wireless Communications and Signal Processing (WCSP)

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