太赫兹科学与电子信息学报2026，Vol.24Issue(6)：736-744,9.DOI:10.11805/TKYDA2025279
带混合攻击和相关噪声的多速率系统的分布式融合估计
Distributed fusion estimation for multi-rate systems with mixed attacks and correlated noises
摘要
Abstract
This paper investigates the distributed fusion estimation problem for Multi-Sensor Multi-Rate(MSMR)systems subject to hybrid network attacks and correlated noises.The state update rate is a positive integer multiple of the observation sampling rate,and different sensors sample uniformly at different rates.The system noise is correlated with the observation noise at the same time instant.Hybrid network attacks may occur during the transmission of sensor observations to remote estimators,and a predictive compensation model is established to address this phenomenon.Through model transformation and state iteration,a unified and concise model is constructed at the observation sampling points.Using the innovation analysis method,optimal Local Filters(LFs)are derived at both observation sampling points and state update points,respectively.Furthermore,the estimation error cross-covariance matrices between any two local filters are derived,and a matrix-weighted Distributed Fusion Filter(DFF)is proposed.Simulation results verify the effectiveness of the proposed algorithms.关键词
多传感器多速率/混合网络攻击/相关噪声/分布式融合估计/互协方差矩阵Key words
Multi-Sensor Multi-Rate(MSMR)/mixed network attacks/correlated noises/distributed fusion estimation/cross-covariance matrix分类
信息技术与安全科学引用本文复制引用
付博洋,田甜..带混合攻击和相关噪声的多速率系统的分布式融合估计[J].太赫兹科学与电子信息学报,2026,24(6):736-744,9.基金项目
黑龙江省自然科学基金资助项目(LH2020F045) （LH2020F045）
