高技术通讯2026，Vol.36Issue(3)：307-317,11.DOI:10.3772/j.issn.1002-0470.2026.03.009
基于系统级综合的分布式鲁棒最优滤波算法
A distributed robust optimal filtering algorithm based on system-level synthesis
摘要
Abstract
This paper proposes a distributed robust optimal filtering algorithm for linear time-invariant systems subject to both white Gaussian noises and bounded-power disturbances.This method achieves the optimal estimation under bounded-power disturbances and Gaussian white noise on condition of the observability of the system.Under a sys-tem-level synthesis framework,the estimated performance is described based on the system response of error dy-namics,and then the filter gain at any single node is obtained.Then local estimation results from all nodes are dy-namically averaged among neighbor nodes for sufficient iterations to achieve estimation performance close to that of a centralized estimator.The stability of the filter is analyzed to ensure the rationality of the design and finally a nu-merical example is given to prove the effectiveness of the proposed algorithm.关键词
多目标滤波/分布式滤波/系统级综合/动态平均Key words
multi-objective filtering/distributed filtering/system-level synthesis/dynamic average引用本文复制引用
李嘉浩,冯宇..基于系统级综合的分布式鲁棒最优滤波算法[J].高技术通讯,2026,36(3):307-317,11.基金项目
国家自然科学基金面上项目(61973276)资助. （61973276）
