Change search
ReferencesLink to record
Permanent link

Direct link
Design and implementation of temporal filtering and other data fusion algorithms to enhance the accuracy of a real time radio location tracking system
University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences.
2012 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

A general automotive navigation system is a satellite navigation system designed for use in automobiles. It typically uses GPS to acquire position data to locate the user on a road in the unit's map database. However, due to recent improvements in the performance of small and light weight micro-machined electromechanical systems (MEMS) inertial sensors have made the application ofinertial techniques to such problems, possible. This has resulted in an increased interest in the topic of inertial navigation.

In location tracking system, sensors are used either individually or in conjunction like in data fusion.However, still they remain noisy, and so there is a need to measure maximum data and then make an efficient system that can remove the noise from data and provide a better estimate.The task of this thesis work was to take data from two sensors, and use an estimation technique to provide an accurate estimate of the true location. The proposed sensors were an accelerometer and aGPS device. This thesis however deals with using accelerometer sensor and using estimation scheme, Kalman filter.

This thesis report presents an insight to both the proposed sensors and different estimation techniques.Within the scope of the work, the task was performed using simulation software Matlab. Kalman filter’s efficiency was examined using different noise levels.

Place, publisher, year, edition, pages
2012. , 60 p.
Keyword [en]
Kalman filter, Inertial sensor, Location tracking, Temporal filtering
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
URN: urn:nbn:se:hig:diva-13225Archive number: TEX120226OAI: diva2:561340
Subject / course
Educational program
Electronics/Telecommunications – master’s programme (two years) (swe or eng)
2012-09-20, 11:320, Gavle, 16:00 (English)
Available from: 2012-10-23 Created: 2012-10-18 Last updated: 2012-10-23Bibliographically approved

Open Access in DiVA

fulltext(2318 kB)107 downloads
File information
File name FULLTEXT01.pdfFile size 2318 kBChecksum SHA-512
Type fulltextMimetype application/pdf

Search in DiVA

By author/editor
Malik, Zohaib Mansoor
By organisation
Department of Electronics, Mathematics and Natural Sciences
Electrical Engineering, Electronic Engineering, Information Engineering

Search outside of DiVA

GoogleGoogle Scholar
Total: 107 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 59 hits
ReferencesLink to record
Permanent link

Direct link