论文标题
具有同步错误的有限状态马尔可夫频道的基于水印的代码构建
Watermark-Based Code Construction for Finite-State Markov Channel with Synchronisation Errors
论文作者
论文摘要
随着电信的进步，不可避免的是越来越严酷的通道传输数据。通过诸如Davey-Mackay Watermark编码等技术获得此类渠道的编码方案；但是，这仅限于无内存的通道估计。必须考虑内存以确保逼真的通道近似 - 类似于有限状态马尔可夫链或弗里奇曼模型。开发了一种新颖的代码构建和解码器来纠正同步错误，同时通过结合水印方案和内存建模的想法来考虑通道的相关记忆效应。仿真结果表明，拟议的代码构建和解码器竞争对手是二阶和二阶Davey-Mackay型水印解码器，甚至在内部渠道容量高于0.9时的性能稍好。所提出的系统和解码器可能会证明对诸如自由空间光学和可能的分子通信等领域有帮助，在该领域中，使用严厉的通道进行通信。
With advancements in telecommunications, data transmission over increasingly harsher channels that produce synchronisation errors is inevitable. Coding schemes for such channels are available through techniques such as the Davey-MacKay watermark coding; however, this is limited to memoryless channel estimates. Memory must be accounted for to ensure a realistic channel approximation - similar to a Finite State Markov Chain or Fritchman Model. A novel code construction and decoder are developed to correct synchronisation errors while considering the channel's correlated memory effects by incorporating ideas from the watermark scheme and memory modelling. Simulation results show that the proposed code construction and decoder rival the first and second-order Davey-MacKay type watermark decoder and even perform slightly better when the inner-channel capacity is higher than 0.9. The proposed system and decoder may prove helpful in fields such as free-space optics and possibly molecular communication, where harsh channels are used for communication.
