吉布斯采样联合符号检测和相位恢复算法  

Joint symbol detection and carrier phase recovery algorithm based on Gibbs sampler

作　　者：乔良 郑辉 

机构地区：[1]盲信号处理重点实验室,四川成都610041

出　　处：《系统工程与电子技术》2015年第10期2364-2370,共7页Systems Engineering and Electronics

基　　金：国家自然科学基金(61172140)资助课题

摘　　要：针对未知载波相位的符号检测问题,基于吉布斯样本法处理框架,提出了一种贝叶斯符号检测算法。该算法通过对载波相位、发送符号等未知参数进行条件后验分布采样,实现了符号检测和相位估计的联合处理。该算法的一个显著特点是具有软输入软输出结构,因此在编码系统中可以与信道译码结合进行迭代处理,从而进一步改善符号检测的性能。计算机仿真的结果表明,该算法同传统的非数据辅助(non-data-aided,NDA)算法相比,具有明显的性能优势,在Turbo编码条件下,其误码性能相比于NDA算法具有大于1dB的增益。To solve the problem of symbol detection in the presence of the unknown carrier phase,a Bayesian de-tection algorithm is proposed based on the Gibbs sampler method.The proposed algorithm draws random samples from the conditional posterior distribution of all unknown quantities,so that the joint symbol detection and carrier phase re-covery is accomplished.A salient feature of the detection algorithm is that it has a soft-input soft-output structure. Therefore,it is well suited for iterative processing in a coded communication system,which allows the Bayesian symbol detector to improve its performance.Simulation results show that the proposed algorithm outpeforms the traditional non-data-aided （NDA）algorithm significantly.In a Turbo code system,the bit error rate performance gain of the pro-posed algorithm is more than 1 dB compared with the NDA algorithm.

关 键 词：载波相位估计 符号检测 吉布斯采样 迭代检测 

分 类 号：TN911.23[电子电信—通信与信息系统]