现代电子技术2025，Vol.48Issue(20)：35-39,5.DOI:10.16652/j.issn.1004-373x.2025.20.006
基于时间交替并行技术的网络不完整节点数据模糊采集
Incomplete network node data fuzzy collection based on TIADC
摘要
Abstract
A method of incomplete network node fuzzy data collection based on time-interleaved analog-to-digital converter(TIADC)is proposed to realize efficient and accurate collection of incomplete node data in network environments.The TIADC is used to collect network node data at different time points by means of multiple parallel analog-to-digital converters(ADC).The sampling clock error is calibrated based on the analysis of the mismatching error of the sampling data results to improve the sampling rate of network node data.The collected incomplete node data is divided by means of C-means fuzzy clustering to partition in the network node data,and the optimal path objective function is constructed based on divided incomplete node data.By solving the optimal path,the fuzzy collection of incomplete network node data is realized.The experimental analysis results show that the proposed method can effectively reduce spurious signals,significantly improve system spectrum purity and overall performance,and can achieve precise fuzzy clustering of incomplete network node data.The redundancy of incomplete node data collection is relatively low and is maintained below 20%,which can significantly enhance the effectiveness and usability of the data.关键词
不完整节点数据/C均值模糊聚类/数据采集/时间交替并行技术/失配误差/最优路径目标函数Key words
incomplete node data/C mean fuzzy clustering/data collection/time-interleaved analog-to-digital converter/mismatching error/optimal path objective function分类
信息技术与安全科学引用本文复制引用
何婷,吴珊丹,辛春花..基于时间交替并行技术的网络不完整节点数据模糊采集[J].现代电子技术,2025,48(20):35-39,5.基金项目
内蒙古自治区高等学校科学研究重点项目(NJZZ22529) （NJZZ22529）
