- Tytuł:
- Artificial Neural Network Approach to Mobile Location Estimation in GSM Network
- Autorzy:
-
Ezema, L. S.
Ani, C. I. - Powiązania:
- https://bibliotekanauki.pl/articles/226374.pdf
- Data publikacji:
- 2017
- Wydawca:
- Polska Akademia Nauk. Czytelnia Czasopism PAN
- Tematy:
-
neural network
artificial intelligent
Levenberg-Marquardt
multi-layered perceptron
mobile location estimation
GSM - Opis:
- The increase in utilisation of mobile location-based services for commercial, safety and security purposes among others are the key drivers for improving location estimation accuracy to better serve those purposes. This paper proposes the application of Levenberg Marquardt training algorithm on new robust multilayered perceptron neural network architecture for mobile positioning fitting for the urban area in the considered GSM network using received signal strength (RSS). The key performance metrics such as accuracy, cost, reliability and coverage are the major points considered in this paper. The technique was evaluated using real data from field measurement and the results obtained proved the proposed model provides a practical positioning that meet Federal Communication Commission (FCC) accuracy requirement.
- Źródło:
-
International Journal of Electronics and Telecommunications; 2017, 63, 1; 39-44
2300-1933 - Pojawia się w:
- International Journal of Electronics and Telecommunications
- Dostawca treści:
- Biblioteka Nauki
Artykuł