Extended Kalman Filter with Reduced Computational Demands for Systems with Non-Linear Measurement Models
The paper presents a method of computational complexity reduction in Extended Kalman Filters dedicated for systems with non-linear measurement models. Extended Kalman filters are commonly used in radio-location and radio-navigation for estimating an object’s position and other parameters o...
Main Author: | Piotr Kaniewski |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-03-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/20/6/1584 |
Similar Items
-
Data and Program Structure for a Modular Extended Kalman Filter
by: Ingar Solberg
Published: (1988-10-01) -
Research on Permanent Magnet Synchronous Motor Control System Based on Adaptive Kalman Filter
by: Jiadong Cui, et al.
Published: (2022-05-01) -
An Improved Extended Kalman Filter for Radar Tracking of Satellite Trajectories
by: Milca de Freitas Coelho, et al.
Published: (2021-08-01) -
A New Variational Bayesian Adaptive Extended Kalman Filter for Cooperative Navigation
by: Chengjiao Sun, et al.
Published: (2018-08-01) -
Measurement Noise Covariance-Adapting Kalman Filters for Varying Sensor Noise Situations
by: Anirudh Chhabra, et al.
Published: (2021-12-01)