Abstract
A distributed estimation approach is developed in this paper using information matrix filter on a distributed tracking system in which multiple sensors are tracking the same target. The information matrix filter version is derived from covariance intersection, weighted covariance and Kalman-like particle filter, respectively. The steady performance of these filters is evaluated with different feedback strategies. The developed filters are then validated on an industrial utility boiler.
| Original language | English |
|---|---|
| Pages (from-to) | 750-778 |
| Number of pages | 29 |
| Journal | International Journal of Adaptive Control and Signal Processing |
| Volume | 30 |
| Issue number | 5 |
| DOIs | |
| State | Published - 1 May 2016 |
Bibliographical note
Publisher Copyright:© Copyright 2015 John Wiley & Sons, Ltd.
Keywords
- Kalman-like particle filter
- covariance intersection
- industrial utility boiler
- information matrix filter
- weighted covariance
ASJC Scopus subject areas
- Control and Systems Engineering
- Signal Processing
- Electrical and Electronic Engineering