Event-Triggered State Estimation for Wireless Sensor Network Systems With Packet Losses and Correlated Noises

被引：4

作者：

Wu, Peng ^{[1
]}

Jiang, Lu ^{[1
]}

Wang, Li ^{[1
]}

Xu, Jiping ^{[1
]}

Wang, Xiaoyi ^{[1
]}

机构：

[1] Beijing Technol & Business Univ, Sch Artificial Intelligence, Beijing Key Lab Big Data Technol Food Safety, Beijing 100048, Peoples R China

来源：

IEEE ACCESS | 2020年 / 8卷

基金：

中国国家自然科学基金;

关键词：

Packet loss; State estimation; Wireless sensor networks; Estimation; Noise measurement; Correlation; Licenses; Event-triggered mechanism; random packet losses; correlated noises; state estimation; estimator of process noise; DISTRIBUTED FUSION;

D O I：

10.1109/ACCESS.2020.3041596

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this article, an event-triggered state estimation problem for wireless sensor network systems affected by random packet losses and correlated noises is considered. A set of independent Bernoulli variables are used to describe the random packet losses in the measurement transmission. An event-triggered transmission strategy is introduced to decrease limited network bandwidth consumption, and the measurement noise is correlated with the process noises of the same moment and the previous moment. Event-triggered estimator of process noises under the linear minimum variance criterion is derived. Then, an event-triggered state estimation algorithm related to the packet loss rate, noise correlation coefficient and triggering threshold is designed. Sufficient conditions are provided to guarantee convergence of the estimation error covariances of the proposed estimator. Finally, comparative simulation verifies the effectiveness of our algorithm.

引用

页码：216762 / 216771

页数：10

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