Distributed Fusion Filter for Networked Multi-sensor Systems with Multiple Random Transmission Delays and Packet Dropouts

被引：0

作者：

Ma, Jing ^{[1
]}

Jin, Hao ^{[2
]}

机构：

[1] Heilongjiang Univ, Sch Math Sci, Harbin 150080, Heilongjiang, Peoples R China

[2] Harbin Univ Commerce, Sch Comp & Informat Engn, Harbin 150028, Heilongjiang, Peoples R China

来源：

PROCEEDINGS OF THE 36TH CHINESE CONTROL CONFERENCE (CCC 2017) | 2017年

关键词：

Distributed fusion filter; multi-sensor; cross-covariance; random delay; packet dropout; STATE ESTIMATION; SENSOR DELAY; LOSSES; RATES;

D O I：

暂无

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 paper is concerned with the distributed fusion filtering problem for networked multi-sensor systems with multiple random transmission delays (RTDs) and packet dropouts (PDs). Based on the new model and local filters (LFs) proposed in a recent literature, the distributed fusion filter weighted by scalars (DFFWS) is given in the linear minimum variance (LMV) sense. The cross-covariance matrices (CCMs) between any two local filtering errors are derived to compute the fusion weights (FWs). The measured data of each sensor are transmitted to the local processor (LP) over different communication channels with different RTD and PD rates. At each moment, the LP may receive one or multiple data packets or nothing. LFs at individual LPs are transmitted to the fusion center to obtain a fusion filter. A simulation example shows the effectiveness.

引用

页码：5197 / 5201

页数：5

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