On distributed Kalman filter based state estimation algorithm over a bearings-only sensor network  

作　　者：LIANG ChenXu XUE WenChao FANG HaiTao ZHANG Ran 

机构地区：[1]The Key Laboratory of Systems and Control,National Center for Mathematics and Interdisciplinary Sciences,Academy of Mathematics and Systems Science,Chinese Academy of Sciences,Beijing 100190,China [2]School of Mathematical Sciences,University of Chinese Academy of Sciences,Beijing 100049,China [3]School of Astronautics,Beihang University,Beijing 100083,China

出　　处：《Science China(Technological Sciences)》2023年第11期3174-3185,共12页中国科学（技术科学英文版）

基　　金：supported by the National Key Research and Development Program of China(Grant No.2022YFA1004703);the National Natural Science Foundation of China(Grant Nos.62122083 and 62103014);the Chinese Academy of Sciences Youth Innovation Promotion Association(Grant No.2021003)。

摘　　要：This paper studies the distributed state estimation problem for a class of discrete-time linear time-varying systems over a bearingsonly sensor network.A novel fusion estimation algorithm of the distance between the target and each sensor is constructed with the mean square error matrix of corresponding estimation being timely provided.Then,the refined estimation of distance is presented by minimizing the mean square error matrix.Furthermore,the distributed Kalman filter based state estimation algorithm is proposed based on the refined distance estimation.It is rigorously proven that the proposed method has the consistency and stability.Finally,numerical simulation results show the effectiveness of our methods.

关 键 词：bearings-only measurements sensor network Kalman filter distributed filter 

分 类 号：TP212.9[自动化与计算机技术—检测技术与自动化装置] TN713[自动化与计算机技术—控制科学与工程]