基于稀疏特征的备份数据传输路径自适应规划仿真
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引用本文:孙兴旺1,孙伟2,乔小平1.基于稀疏特征的备份数据传输路径自适应规划仿真[J].计算技术与自动化,2023,(2):184-188
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孙兴旺1,孙伟2,乔小平1 (1.包神铁路集团机务分公司陕西 神木 7193002.安徽安为科技有限公司安徽 合肥 230041) 
中文摘要:以网络信道通信能力为依据,进行备份数据传输路径规划时,盲信道估计过程的丢包率较高。由此,提出基于稀疏特征的备份数据传输路径自适应规划仿真。深入分析备份数据传输流程,建立数据路径传输模型,依托于标准LMS滤波器,结合稀疏特征提取结果,设计数据传输网络信道估计算法,了解不同网络信道通信能力。根据通信干扰图计算每个信道的干扰情况,生成无干扰信道分配机制,通过逆向搜索的方式,获取备份数据传输路径自适应规划结果。仿真实验结果表明:所提方法与应用后,规划路径的网络平均丢包率降低了21.94%、17.98%,更好地保证了备份数据完整性。
中文关键词:稀疏特征  信道估计  备份数据  传输路径  路径规划  抗干扰
 
Adaptive Planning and Simulation of Backup Data Transmission Path Based on Sparse Feature
Abstract:Based on the communication ability of network channel, when planning the backup data transmission path, the packet loss rate of blind channel estimation process is high. Therefore, an adaptive planning simulation of backup data transmission path based on sparse feature is proposed. Deeply analyze the backup data transmission process, establish the data path transmission model, design the data transmission network channel estimation algorithm based on the standard LMS filter and the sparse feature extraction results, and understand the communication capabilities of different network channels. Calculate the interference of each channel according to the communication interference diagram, generate the interference free channel allocation mechanism, and obtain the adaptive planning results of backup data transmission path through reverse search. Simulation results show that after the proposed method and application, the average packet loss rate of the planned path is reduced by 21.94% and 17.98%, which better ensures the integrity of backup data.
keywords:sparse feature  channel estimation  backup data  transmission path  route planning  anti-interference
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