Possibilities of Using Kalman Filters in Indoor Localization
Kalman filters are a set of algorithms based on the idea of a filter described by Rudolf Emil Kalman in 1960. Kalman filters are used in various application domains, including localization, object tracking, and navigation. The text provides an overview and discussion of the possibilities of using Ka...
Main Authors: | Katerina Fronckova, Pavel Prazak |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-09-01
|
Series: | Mathematics |
Subjects: | |
Online Access: | https://www.mdpi.com/2227-7390/8/9/1564 |
Similar Items
-
Review of Kalman Filter Employment in the NAIRU Estimation
by: Katerina Fronckova, et al.
Published: (2019-06-01) -
Fusion of WiFi, Smartphone Sensors and Landmarks Using the Kalman Filter for Indoor Localization
by: Zhenghua Chen, et al.
Published: (2015-01-01) -
IMPLEMENTATION OF KALMAN FILTER FOR THE INDOOR LOCATION SYSTEM OF A LEGO NXT MOBILE ROBOT
by: Leidy López Osorio, et al.
Published: (2014-12-01) -
RSSI-Based Distance Estimation Framework Using a Kalman Filter for Sustainable Indoor Computing Environments
by: Yunsick Sung
Published: (2016-11-01) -
Switching Extended Kalman Filter Bank for Indoor Localization Using Wireless Sensor Networks
by: Jung Min Pak
Published: (2021-03-01)