Weighted Geometric Dilution of Precision Calculations with Matrix Multiplication

To enhance the performance of location estimation in wireless positioning systems, the geometric dilution of precision (GDOP) is widely used as a criterion for selecting measurement units. Since GDOP represents the geometric effect on the relationship between measurement error and positioning determ...

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Main Author: Chien-Sheng Chen
Format: Article
Language:English
Published: MDPI AG 2015-01-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/15/1/803
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spelling doaj-0dfa21443e274a03bc339bd5753704272020-11-24T21:53:28ZengMDPI AGSensors1424-82202015-01-0115180381710.3390/s150100803s150100803Weighted Geometric Dilution of Precision Calculations with Matrix MultiplicationChien-Sheng Chen0Department of Information Management, Tainan University of Technology, Tainan, 710 TaiwanTo enhance the performance of location estimation in wireless positioning systems, the geometric dilution of precision (GDOP) is widely used as a criterion for selecting measurement units. Since GDOP represents the geometric effect on the relationship between measurement error and positioning determination error, the smallest GDOP of the measurement unit subset is usually chosen for positioning. The conventional GDOP calculation using matrix inversion method requires many operations. Because more and more measurement units can be chosen nowadays, an efficient calculation should be designed to decrease the complexity. Since the performance of each measurement unit is different, the weighted GDOP (WGDOP), instead of GDOP, is used to select the measurement units to improve the accuracy of location. To calculate WGDOP effectively and efficiently, the closed-form solution for WGDOP calculation is proposed when more than four measurements are available. In this paper, an efficient WGDOP calculation method applying matrix multiplication that is easy for hardware implementation is proposed. In addition, the proposed method can be used when more than exactly four measurements are available. Even when using all-in-view method for positioning, the proposed method still can reduce the computational overhead. The proposed WGDOP methods with less computation are compatible with global positioning system (GPS), wireless sensor networks (WSN) and cellular communication systems.http://www.mdpi.com/1424-8220/15/1/803weighted geometric dilution of precision (WGDOP)geometric dilution of precision (GDOP)
collection DOAJ
language English
format Article
sources DOAJ
author Chien-Sheng Chen
spellingShingle Chien-Sheng Chen
Weighted Geometric Dilution of Precision Calculations with Matrix Multiplication
Sensors
weighted geometric dilution of precision (WGDOP)
geometric dilution of precision (GDOP)
author_facet Chien-Sheng Chen
author_sort Chien-Sheng Chen
title Weighted Geometric Dilution of Precision Calculations with Matrix Multiplication
title_short Weighted Geometric Dilution of Precision Calculations with Matrix Multiplication
title_full Weighted Geometric Dilution of Precision Calculations with Matrix Multiplication
title_fullStr Weighted Geometric Dilution of Precision Calculations with Matrix Multiplication
title_full_unstemmed Weighted Geometric Dilution of Precision Calculations with Matrix Multiplication
title_sort weighted geometric dilution of precision calculations with matrix multiplication
publisher MDPI AG
series Sensors
issn 1424-8220
publishDate 2015-01-01
description To enhance the performance of location estimation in wireless positioning systems, the geometric dilution of precision (GDOP) is widely used as a criterion for selecting measurement units. Since GDOP represents the geometric effect on the relationship between measurement error and positioning determination error, the smallest GDOP of the measurement unit subset is usually chosen for positioning. The conventional GDOP calculation using matrix inversion method requires many operations. Because more and more measurement units can be chosen nowadays, an efficient calculation should be designed to decrease the complexity. Since the performance of each measurement unit is different, the weighted GDOP (WGDOP), instead of GDOP, is used to select the measurement units to improve the accuracy of location. To calculate WGDOP effectively and efficiently, the closed-form solution for WGDOP calculation is proposed when more than four measurements are available. In this paper, an efficient WGDOP calculation method applying matrix multiplication that is easy for hardware implementation is proposed. In addition, the proposed method can be used when more than exactly four measurements are available. Even when using all-in-view method for positioning, the proposed method still can reduce the computational overhead. The proposed WGDOP methods with less computation are compatible with global positioning system (GPS), wireless sensor networks (WSN) and cellular communication systems.
topic weighted geometric dilution of precision (WGDOP)
geometric dilution of precision (GDOP)
url http://www.mdpi.com/1424-8220/15/1/803
work_keys_str_mv AT chienshengchen weightedgeometricdilutionofprecisioncalculationswithmatrixmultiplication
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