Weighted Multiple Linear Regression Model for Mobile Location Estimation in GSM Network
| Autor: | CI Ani, Longinus Sunday Ezema |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Estimation
Computer science RSS 020206 networking & telecommunications Statistical model 02 engineering and technology General Medicine computer.file_format computer.software_genre GSM Position (vector) Mobile station Linear regression 0202 electrical engineering electronic engineering information engineering Cellular network 020201 artificial intelligence & image processing Data mining computer |
| Zdroj: | International Journal of Interdisciplinary Telecommunications and Networking. 12:57-69 |
| ISSN: | 1941-8671 1941-8663 |
| DOI: | 10.4018/ijitn.2020010105 |
| Popis: | The numbers of crimes and accidents, among other challenging issues, requiring a mobile application with localization capabilities are on the increase. Yet there is under-utilization of location information provided by mobile phones. The accuracy and cost of implementation of mobile position localization on cellular network have been an issue of research interest. In this paper, the statistical modelling of mobile station (MS) position location was carried out using weighted multiple linear regressions (WMLR) method. The proposed statistical modelling approach was based on received signal strength (RSS) technique. The model improved localization accuracy. The model's simulated results were analysed and compared with the existing MLR using real measured data collected from GSM network in a light urban environment in Enugu, Nigeria. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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