Distributed Estimation of Time-Varying Biases in Relative State Measurements

被引：1
|
作者：
Shi, Mingming [1 ]
机构：
[1] Catholic Univ Louvain, ICTEAM, B-1348 Louvain la Neuve, Belgium
来源：
IEEE TRANSACTIONS ON AUTOMATIC CONTROL | 2022年 / 67卷 / 08期
关键词：
Sensors; Sea measurements; Measurement uncertainty; Estimation; Time measurement; Matrix decomposition; Sensor systems; Bipartite graph; observability; estimation; distributed algorithms; wireless sensor networks; NETWORK LOCALIZATION;
D O I：
10.1109/TAC.2021.3115429
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This article focuses on the distributed estimation of time-varying bias signals in relative state measurements of sensors, where each sensor measures the relative state of neighboring sensors and the measurements contain a time-varying bias signal that is generated from a linear exo-systems. Assume that sensors can communicate with others, we propose several distributed bias estimators, by which each sensor can reconstruct its own bias signal and the exo-system's state using local information.
引用
收藏
页码：4278 / 4284
页数：7
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