Multi Linear Regression Model for Mobile Location Estimation in GSM Network
| Autor: | Longinus Sunday Ezema, CI Ani |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Estimation
Multidisciplinary Computer science business.industry RSS 020206 networking & telecommunications 02 engineering and technology computer.file_format computer.software_genre Signal strength GSM Linear regression 0202 electrical engineering electronic engineering information engineering Global Positioning System Mobile location 020201 artificial intelligence & image processing Data mining business computer |
| Zdroj: | Indian Journal of Science and Technology. 9 |
| ISSN: | 0974-5645 0974-6846 |
| DOI: | 10.17485/ijst/2016/v9i6/75195 |
| Popis: | Background/Objectives: Recently, several researchers are directed in the area of mobile location estimation in GSM network. The major interests in the research include improving the accuracy of location estimation. Methods/Statistical analysis: Therefore, this paper present the first application of Multiple Linear Regression (MLR) analysis for mobile location estimation in a GSM network and without pre-processing or manipulating the Location Dependent Parameter (LDP) - Received Signal Strength Indicator (RSSI). The proposed model was developed and evaluated using Received Signal Strength (RSS) and geographical coordinates obtained from drive tests. Findings: The results show that, 67% of the calls, the positioning error is less than 64 m and 95% of the calls will result in positioning error less than 115 m while the maximum error is 275m for the urban area. Application/Improvements: Results show improved accuracy in location estimation. This model can be adopted for any mobile location application including the emergency call services (E-911) that requires very high accuracy level. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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