基于人工免疫的链路层协议帧同步字识别

发布时间：2018-04-21 09:51

本文选题：帧结构 + 同步字　；参考：《电子与信息学报》2017年03期

【摘要】：该文提出一种基于人工免疫的同步字识别算法,解决了无线网络链路层协议帧同步字的识别问题。算法在定义相关概念的基础上,通过对已知协议类型文件集脱氧核苷酸(ODN)浓度的计算,得到了相关协议的同步字脱氧核苷酸库;然后,利用得到的同步字脱氧核苷酸库与相关文件集进行连续一致匹配,生成同步字检测基因库;最后,利用得到的同步字脱氧核苷酸库和同步字检测基因库,通过连续一致匹配和基因相似度值的计算,实现了同步字的准确识别。仿真实验验证了算法的有效性,与已有的模式串匹配算法相比,所提算法的鲁棒性较好,具有一定的工程应用价值。
[Abstract]:In this paper, a synchronous word recognition algorithm based on artificial immune is proposed, which solves the problem of frame synchronous word recognition in wireless network link layer protocol. On the basis of defining the related concepts, the algorithm calculates the concentration of the known protocol type file set deoxynucleotides (ODN) and obtains the synchronal deoxynucleotide library of the related protocol. The synchronous word deoxynucleotide library is used to match the relevant file set continuously, and the synchronous word detection gene bank is generated. Finally, the obtained synchronous word deoxynucleotide library and synchronous word detection gene bank are used. The accurate recognition of synchronous words is realized by continuous consistent matching and gene similarity calculation. Simulation results demonstrate the effectiveness of the proposed algorithm. Compared with the existing pattern string matching algorithm, the proposed algorithm has better robustness and has certain engineering application value.
【作者单位】：电子工程学院;安徽省电子制约技术重点实验室;
【基金】：国家自然科学基金(61171170) 安徽省自然科学基金(1408085QF115)~~
【分类号】：TN915.04

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