Global Systems for Mobile Position Tracking Using Kalman and Lainiotis Filters
We present two time invariant models for Global Systems for Mobile (GSM) position tracking, which describe the movement in x-axis and y-axis simultaneously or separately. We present the time invariant filters as well as the steady state filters: the classical Kalman filter and Lainiotis Filter and t...
Saved in:
| Main Authors: | Nicholas Assimakis, Maria Adam |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2014-01-01
|
| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2014/130512 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Kalman Filter-Based Indoor Position Tracking with Self-Calibration for RSS Variation Mitigation
by: Sangwoo Lee, et al.
Published: (2015-08-01) -
MISSILE POSITION ESTIMATION USING UNSCENTED KALMAN FILTER
by: Teguh Herlambang, et al.
Published: (2022-03-01) -
Sequential Multidimensional Scaling with Kalman Filtering for Location Tracking
by: Lan Anh Trinh, et al.
Published: (2015-11-01) -
The comparative analysis of unscented and extended Kalman filterS for global positioning systems receiver data processing
by: A. N. Moroz, et al.
Published: (2019-06-01) -
High Resolution Order Tracking at Extreme Slew Rates Using Kalman Tracking Filters
by: Håvard Vold, et al.
Published: (1995-01-01)