基于多重约束的OpenXML复合文档内容源数据区容错定界算法

Error-tolerant delimitation algorithm for file source data of OpenXML compound document based on multiple constraints

在高误码率条件下,接收到的OpenXML复合文档往往因数据含错而无法打开,而在文档修复过程中,对信源中每个源文件内容源数据区的定界经常容易出错。针对该问题,提出了一种基于多重约束的OpenXML复合文档内容源数据区容错定界算法。通过对文档协议冗余的分析与归类,将内容源数据区定界问题转换为对起始位置序列的最佳估计问题;在通过适当放宽匹配条件完成粗定界的基础上,利用冗余信息中的约束关系构建代价函数对观测数据进行筛选,有效地剔除虚警情况,进而实现对内容源数据区起始位置序列的最佳估计。仿真结果表明,在参数设置合理的情况下,该方法具有较好的容错定界能力。

Under the conditions of high bit error rate,the received OpenXML compound documents usually can’t be opened because of errors.In the process of compound document recovery,it is difficult to make the delimitation of the file source data.To solve this problem,this paper proposed an error-tolerant delimitation algorithm for the file source data of OpenXML compound document based on multiple constraints.With the analysis and classification of the document protocol redundancy,the algorithm transformed the problem of the delimitation of the file source data into the optimal estimation of the initial position sequence.On the basis of the completion of the rough delimitation by relaxing the matching conditions appropriately,it constructed the cost function to filter the observation data.By using the constraint relation in redundant information,this method removed the situation of false-alarm effectively.The simulation results show that the proposed method has better ability on error- tolerant delimitation and efficiency with the reasonable parameters.