计算机应用研究Issue(1)：210-212,270,4.DOI:10.3969/j.issn.1001-3695.2016.01.048
基于卡尔曼过滤的多传感器协作数据重构算法研究
Collaboration data reconstruction algorithm based on Kalman filtering for multi-sensor
摘要
Abstract
Multi-sensor system for data easily lost,vulnerable to interference and ease of distortion and other issues,this pa-per proposed a cooperative data reconstruction algorithm combines collaborative manner on the basis of the Kalman filter.The algorithm from an order linearization,quadratic weighted random mutation smoothing and statistical features and other aspects of starting to establish a system for multi-sensor Kalman filter algorithm,and then relaying signals based on time and adaptive perception gap,gave the collaboration cooperative multi-sensor system data reconstruction process control algorithms.Mathe-matical analysis and experimental results show that the proposed algorithm is compared with the compressed sensing reconstruc-tion algorithm accuracy in monitoring data,have shown the advantages of variance,power and energy and so on.关键词
卡尔曼过滤/多传感器/协同合作/数据重构Key words
Kalman filtering/multi-sensor/cooperation/data reconstruction分类
信息技术与安全科学引用本文复制引用
宋晓虹,唐琎..基于卡尔曼过滤的多传感器协作数据重构算法研究[J].计算机应用研究,2016,(1):210-212,270,4.基金项目
湖南省科技计划支撑项目 （）
