基于空间网格图的低复杂度联合信源信道编译码方法

Low-complexity joint source-channel coding and decoding approach based on space trellis

在分析和研究空间网格图和优化方法的基础上,采用约束条件方程组和权重值递推方法,优化空间网格图的权重参数,提出基于空间网格图的低复杂度联合信源信道编译码方法.仿真实验结果表明,与现存方法相比,该方法有效降低了计算复杂度,并改善了译码性能,可应用于资源受限的空间通信中的流媒体的联合编译码.

We have optimized weight value of space trellis and proposed a low-complexity joint source-channel coding and decoding approach based on space trellis. Simulation results show that, compared to the existing methods, the proposed approach reduces computation complexity and improves decoding performance. The approach can be applied to joint en/decoding of streaming media in resource-constrained space communications.