An Effective Approach to Improving Low-Cost GPS Positioning Accuracy in Real-Time Navigation

Positioning accuracy is a challenging issue for location-based applications using a low-cost global positioning system (GPS). This paper presents an effective approach to improving the positioning accuracy of a low-cost GPS receiver for real-time navigation. The proposed method precisely estimates p...

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Main Authors: Md. Rashedul Islam, Jong-Myon Kim
Format: Article
Language:English
Published: Hindawi Limited 2014-01-01
Series:The Scientific World Journal
Online Access:http://dx.doi.org/10.1155/2014/671494
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spelling doaj-8fe8089acc6948579797a62c532791602020-11-25T00:54:23ZengHindawi LimitedThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/671494671494An Effective Approach to Improving Low-Cost GPS Positioning Accuracy in Real-Time NavigationMd. Rashedul Islam0Jong-Myon Kim1Department of Electrical, Electronics and Computer Engineering, University of Ulsan, Building No. 7, Room No. 308, 93 Daehak-ro, Nam-gu, Ulsan 680-749, Republic of KoreaDepartment of Electrical, Electronics and Computer Engineering, University of Ulsan, Building No. 7, Room No. 308, 93 Daehak-ro, Nam-gu, Ulsan 680-749, Republic of KoreaPositioning accuracy is a challenging issue for location-based applications using a low-cost global positioning system (GPS). This paper presents an effective approach to improving the positioning accuracy of a low-cost GPS receiver for real-time navigation. The proposed method precisely estimates position by combining vehicle movement direction, velocity averaging, and distance between waypoints using coordinate data (latitude, longitude, time, and velocity) of the GPS receiver. The previously estimated precious reference point, coordinate translation, and invalid data check also improve accuracy. In order to evaluate the performance of the proposed method, we conducted an experiment using a GARMIN GPS 19xHVS receiver attached to a car and used Google Maps to plot the processed data. The proposed method achieved improvement of 4–10 meters in several experiments. In addition, we compared the proposed approach with two other state-of-the-art methods: recursive averaging and ARMA interpolation. The experimental results show that the proposed approach outperforms other state-of-the-art methods in terms of positioning accuracy.http://dx.doi.org/10.1155/2014/671494
collection DOAJ
language English
format Article
sources DOAJ
author Md. Rashedul Islam
Jong-Myon Kim
spellingShingle Md. Rashedul Islam
Jong-Myon Kim
An Effective Approach to Improving Low-Cost GPS Positioning Accuracy in Real-Time Navigation
The Scientific World Journal
author_facet Md. Rashedul Islam
Jong-Myon Kim
author_sort Md. Rashedul Islam
title An Effective Approach to Improving Low-Cost GPS Positioning Accuracy in Real-Time Navigation
title_short An Effective Approach to Improving Low-Cost GPS Positioning Accuracy in Real-Time Navigation
title_full An Effective Approach to Improving Low-Cost GPS Positioning Accuracy in Real-Time Navigation
title_fullStr An Effective Approach to Improving Low-Cost GPS Positioning Accuracy in Real-Time Navigation
title_full_unstemmed An Effective Approach to Improving Low-Cost GPS Positioning Accuracy in Real-Time Navigation
title_sort effective approach to improving low-cost gps positioning accuracy in real-time navigation
publisher Hindawi Limited
series The Scientific World Journal
issn 2356-6140
1537-744X
publishDate 2014-01-01
description Positioning accuracy is a challenging issue for location-based applications using a low-cost global positioning system (GPS). This paper presents an effective approach to improving the positioning accuracy of a low-cost GPS receiver for real-time navigation. The proposed method precisely estimates position by combining vehicle movement direction, velocity averaging, and distance between waypoints using coordinate data (latitude, longitude, time, and velocity) of the GPS receiver. The previously estimated precious reference point, coordinate translation, and invalid data check also improve accuracy. In order to evaluate the performance of the proposed method, we conducted an experiment using a GARMIN GPS 19xHVS receiver attached to a car and used Google Maps to plot the processed data. The proposed method achieved improvement of 4–10 meters in several experiments. In addition, we compared the proposed approach with two other state-of-the-art methods: recursive averaging and ARMA interpolation. The experimental results show that the proposed approach outperforms other state-of-the-art methods in terms of positioning accuracy.
url http://dx.doi.org/10.1155/2014/671494
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