串行级联卷积码的差分解调译码算法  

Differential Demodulation and Decoding Algorithm for Serially-Concatenated Convolutional Code

作　　者：谢斯林 杨孔哲 杨柳[1] 王雅慧[1] 

机构地区：[1]解放军理工大学通信工程学院,江苏南京210007

出　　处：《通信技术》2016年第3期274-277,共4页Communications Technology

摘　　要：迭代解调译码算法是一种提升差分调制系统解调性能的方法。将DPSK的迭代解调译码算法应用到具有高编码增益的串行级联卷积码编码系统中,通过解调与译码的联合迭代,有效改善了传统差分解调带来的性能损失。同时针对串行级联卷积码的特点,提出了一种优化的联合迭代解调译码算法,软解调器与串行级联卷积码的子译码器直接进行软信息的交换,简化了接收端的系统结构。仿真结果表明,迭代解调译码算法可以有效提升DPSK调制的串行级联卷积编码系统的性能,优化后的算法可以获得几乎相同的性能增益,并且降低了运算复杂度。Iterative demodulation and decoding algorithm could improve the performance of DPSK demodulated systems. This paper describes how DPSK iterative demodulation and decoding algorithm is applied to serially-concatenated convolutional codes with a high encoding gain, thus to effectively improve the performanee of traditional differential demodulation via joint iteration of demodulation and decoding. Meanwhile, in combination with the characteristics of serially-concatenated convolutional code, a modified joint iteration algorithm of demodulation and decoding is proposed, which could implement direct soft-information exchange of between the soft-decision demodulator and sub-decoder, thus simplifying the structure of the receiver. Simulation results indicate that the combined demodulation-and-decoding algorithm could effectively improve the performance of the above-mentioned systems, while the modified algorithm could also achieve almost the same performance gain with an even lower operation complexity.

关 键 词：DPSK 串行级联卷积码 联合解调译码 迭代 

分 类 号：TN929.5[电子电信—通信与信息系统]