An overview of multirate multisensor systems: Modelling and estimation

被引：26
|
作者：
Lin, Honglei [1 ]
Sun, Shuli [1 ]
机构：
[1] Heilongjiang Univ, Sch Elect Engn, Harbin 150080, Heilongjiang, Peoples R China
来源：
INFORMATION FUSION | 2019年 / 52卷
基金：
中国国家自然科学基金;
关键词：
Multirate multisensor system; Synchronisation; Nonuniform sampling; Asynchronous estimation; DISTRIBUTED FUSION ESTIMATION; SAMPLED-DATA SYSTEMS; RANDOM TRANSMISSION DELAYS; NETWORKED CONTROL-SYSTEMS; MULTIPLE PACKET DROPOUTS; OUTPUT-FEEDBACK CONTROL; RANDOM SENSOR DELAYS; STATE ESTIMATION; INFORMATION FUSION; KALMAN FILTER;
D O I：
10.1016/j.inffus.2019.05.002
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, research advances in modelling and estimation algorithms for multirate multisensor systems are reviewed. Multirate multisensor sampling schemes can be classified into two cases: uniform sampling and nonuniform sampling. A general method to solve an asynchronous estimation problem for multirate multisensor systems is to transform the asynchronous problem into a synchronous one. Then, synchronous estimation algorithms can be applied. Therefore, modelling synchronisation approaches are summarised for uniform and nonuniform sampling cases. Meanwhile, the corresponding estimation algorithms are reviewed according to different synchronised models. Last, future research topics are discussed.
引用
收藏
页码：335 / 343
页数：9
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