符号级同步信道建模与实际应用：从Davey-Mackay、Fritchman到Markov
Symbol-Level Synchronisation Channel Modelling With Real-World Application: From Davey-Mackay, Fritchman to Markov
摘要：
实际信道中的误差不仅包含替换误差，还包含同步误差。此外，这些误差在统计上很少是独立的。通过扩展的Fritchman通道模型的思想，一种新的错误类别为基础的方法，在确定通道特性的内存通道，其中包含插入，删除和替换错误。通过利用来自可见光通信系统的真实通信数据来加强这种方法的实用性。仿真结果表明，使用这种定义信道的新方法的无差错运行和差错运行明显偏离Davey-Mackay同步模型，该模型本质上是无记忆的。这进一步强调了这些同步通道中的固有记忆，我们现在可以将其重新定位。此外，一个新的方法来确定同步存储器信道的参数使用Levenshtein距离度量的详细说明。这种信道建模方法允许模拟更真实的通信模型，并且可以很容易地扩展到其他研究领域，例如医学领域的DNA条形码。
英文摘要：
Errors in realistic channels contain not only substitution errors, but synchronisation errors as well. Moreover, these errors are rarely statistically independent in nature. By extending on the idea of the Fritchman channel model, a novel error category-based methodology in determining channel characteristics is described for memory channels which contain insertion, deletion, and substitution errors. The practicality of such a methodology is reinforced by making use of real communication data from a visible light communication system. Simulation results show that the error-free and error runs using this new method of defining the channel clearly deviates from the Davey-Mackay synchronisation model which is memoryless in nature. This further emphasises the inherent memory in these synchronisation channels which we are now able to characterise. Additionally, a new method to determine the parameters of a synchronisation memory channel using the Levenshtein distance metric is detailed. This method of channel modelling allows for more realistic communication models to be simulated and can easily extend to other areas of research such as DNA barcoding in the medical domain.
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