基于迭代结构和MS估计的信源信道联合解码

Joint Source-Channel Decoding Based on Iterative Structure and MS Estimation

利用信源参数的非等概分布和时间相关性,以及软输入软输出信道解码提供的接收参数似然信息,提出了基于递归结构的联合信源信道解码算法.该算法由基于MS估计的软输入信源解码和基于迭代结构的维特比信道解码两部分组成.仿真实验表明对于具有时间相关性的高斯信源和加性高斯白噪声信道,与信源信道独立解码相比,联合算法得到的参数信噪比提高了近10dB,有效提高了接收系统性能.

Using the non-uniform distribution and time domain soft-value provided by SISO channel decoder, a recursive joint The algorithm is c iterative structure. parameter SNR of correlation of souree-encoded parameter and the source-channel decoding algorithm is proposed. omposed of soft-bit source decoding based on MS estimation and Viterbi decoder based on Compared with separate source channel decoding, about 10 dB for colored Gaussian source and AWGN the joint algorithm has a gain in the channel.