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Effective adaptive rate allocation for DP-LDPC image transmission system based on source and channel characteristics

机译：基于源和信道特性的DP-LDPC图像传输系统的有效自适应速率分配

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摘要

Image transmission issue with high entropy frames is a great challenge for joint source channel coding (JSCC) system based on double protograph low-density parity-check codes (DP-LDPC) due to its sensitivity to source statistics. Aiming at this question, we proposed an effective rate allocation scheme with the premise of unfixed total rate to allocate the source coding rate and channel coding rate for each frame based on source and channel characteristics. In this scheme, two kinds of objective utility function (OUF) models and corresponding rate allocation methods are provided, including the single objective utility function (SOUF) model with global search method and the multi-objective utility function (MOUF) model with fuzzy logic control (FLC) method. Simulation results indicate that both models are effective for DP-LDPC system with high entropy frames, and the MOUF model with FLC method has better adaptive capacity to time-varying channel and better balance on transmission efficiency, image quality and fairness of allocation. The proposed methods offer some new solutions for high entropy frame problem of DP-LDPC image transmission system.
机译：高熵帧的图像传输问题对于基于双协议低密度奇偶校验码（DP-LDPC）的联合源通道编码（JSCC）系统由于对源统计数据的敏感性而成为一个巨大的挑战。针对这个问题，我们提出了一种有效的速率分配方案，该方案以总速率不固定为前提，根据源和通道的特性为每一帧分配源编码率和通道编码率。该方案提供了两种目标效用函数模型和相应的费率分配方法，包括采用全局搜索法的单目标效用函数模型和具有模糊逻辑的多目标效用模型。控制（FLC）方法。仿真结果表明，两种模型对于高熵帧的DP-LDPC系统都是有效的，采用FLC方法的MOUF模型对时变信道具有更好的自适应能力，在传输效率，图像质量和分配公平性之间具有更好的平衡。所提出的方法为DP-LDPC图像传输系统的高熵帧问题提供了一些新的解决方案。

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