Estimating Position of Mobile Terminals with Survey Data

<p/> <p>Estimating the position of mobile terminals is an important problem for cellular networks. This paper describes low cost methods of locating mobile terminals in urban environments. These methods use data collected during propagation surveys of the network area. It will be shown h...

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Main Authors: McGuire Michael, Plataniotis Konstantinos N, Venetsanopoulos Anastasios N
Format: Article
Language:English
Published: SpringerOpen 2002-01-01
Series:EURASIP Journal on Advances in Signal Processing
Subjects:
Online Access:http://dx.doi.org/10.1155/S1110865702000446
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author McGuire Michael
Plataniotis Konstantinos N
Venetsanopoulos Anastasios N
author_facet McGuire Michael
Plataniotis Konstantinos N
Venetsanopoulos Anastasios N
author_sort McGuire Michael
collection DOAJ
description <p/> <p>Estimating the position of mobile terminals is an important problem for cellular networks. This paper describes low cost methods of locating mobile terminals in urban environments. These methods use data collected during propagation surveys of the network area. It will be shown how the maximum likelihood estimate and minimum mean-square error estimators can be approximated using survey data. Furthermore, the approximate solutions can provide low variance location estimates with low computational cost compared to other methods.</p>
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spelling doaj.art-b79fe1d584164ae19f25591d3351c2fd2022-12-22T03:15:57ZengSpringerOpenEURASIP Journal on Advances in Signal Processing1687-61721687-61802002-01-0120021508712Estimating Position of Mobile Terminals with Survey DataMcGuire MichaelPlataniotis Konstantinos NVenetsanopoulos Anastasios N<p/> <p>Estimating the position of mobile terminals is an important problem for cellular networks. This paper describes low cost methods of locating mobile terminals in urban environments. These methods use data collected during propagation surveys of the network area. It will be shown how the maximum likelihood estimate and minimum mean-square error estimators can be approximated using survey data. Furthermore, the approximate solutions can provide low variance location estimates with low computational cost compared to other methods.</p>http://dx.doi.org/10.1155/S1110865702000446radio locationnon-parametric methodscellular radio networks
spellingShingle McGuire Michael
Plataniotis Konstantinos N
Venetsanopoulos Anastasios N
Estimating Position of Mobile Terminals with Survey Data
EURASIP Journal on Advances in Signal Processing
radio location
non-parametric methods
cellular radio networks
title Estimating Position of Mobile Terminals with Survey Data
title_full Estimating Position of Mobile Terminals with Survey Data
title_fullStr Estimating Position of Mobile Terminals with Survey Data
title_full_unstemmed Estimating Position of Mobile Terminals with Survey Data
title_short Estimating Position of Mobile Terminals with Survey Data
title_sort estimating position of mobile terminals with survey data
topic radio location
non-parametric methods
cellular radio networks
url http://dx.doi.org/10.1155/S1110865702000446
work_keys_str_mv AT mcguiremichael estimatingpositionofmobileterminalswithsurveydata
AT plataniotiskonstantinosn estimatingpositionofmobileterminalswithsurveydata
AT venetsanopoulosanastasiosn estimatingpositionofmobileterminalswithsurveydata