Self-Tuning Distributed Fusion Filter for Multi-Sensor Networked Systems with Unknown Packet Receiving Rates, Noise Variances, and Model Parameters

Self-Tuning Distributed Fusion Filter for Multi-Sensor Networked Systems with Unknown Packet Receiving Rates, Noise Variances, and Model Parameters

In this study, we researched the problem of self-tuning (ST) distributed fusion state estimation for multi-sensor networked stochastic linear discrete-time systems with unknown packet receiving rates, noise variances (NVs), and model parameters (MPs). Packet dropouts may occur when sensor data are s...

Full description

Bibliographic Details
Main Authors: Minhui Wang, Shuli Sun
Format: Article
Language:English
Published: MDPI AG 2019-10-01
Series:Sensors
Subjects:
rels algorithm
correlation function method
unknown packet receiving rate
unknown noise variance
unknown model parameter
self-tuning fusion filter
Online Access:https://www.mdpi.com/1424-8220/19/20/4436

Internet

https://www.mdpi.com/1424-8220/19/20/4436

Similar Items