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网络数据超维联合模型下的信道损伤估计

Network Data Model of Joint Damage of Channel Estimation
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摘要 为了对网络信道损伤进行全面预测分析,改进传统的信道损伤预测方法,采用一种建立合理的超维分析模型,将影响分析结果的信道损伤参数与模型参数匹配,并基于时域特性对信道损伤的渐变过程进行详细分析,依据超维联合预测结果,实现对于网络信道损伤的准确预测分析,为网络信道维护提供帮助.通过对多种网络信道进行实际分析测试,结果显示,采用基于超维联合分析模型,损伤预测分析结果准确率大大提高,对于网络信道损伤具有很好的指导分析意义. In order to analysis and predict channel damage on network ,improve traditional prediction method ,adopt a super model of joint damage analysis method of network channel .Match on channel damage parameters and model parameters ,analysis method based on time domain features ,detailed analysis was carried out on the channel damage process of the gradient .According to prediction results of super model of joint damage analysis method ,these provide help for the network channel maintenance .By analyzing the various network ,results show that ,damage prediction accuracy is greatly increased ,have great significance in guiding analysis for network channel .
作者 陈宏明 章慧
出处 《微电子学与计算机》 CSCD 北大核心 2014年第7期133-136,共4页 Microelectronics & Computer
基金 淮安市产学研联合研究项目"国家级食品药品安全示范区远程监管系统的设计与实现"(HC201308)
关键词 时域特性分析 超维联合模型 信道损伤 time domain characteristics analysis super dimensional joint model channel damage
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