Localization via multipath strengths in a CDMA2000 cellular network using neural networks

Author

Ergüt, Salih ; Rao, Ramesh R. ; Dural, Özgür

Author_Institution

Dept. of Electr. & Comput. Eng., Univ. of California San Diego, La Jolla, CA

fYear

2008

fDate

1-8 June 2008

Firstpage

4066

Lastpage

4069

Abstract

Localization is becoming more important with increasing number of cellular phone users. Due to safety aspects with increased emergency calls from mobile phones, new applications related to location based services, and the network optimization with increasing load, localization draws interest from both the academia and the industry. In this study, we propose a neural network based algorithm that uses multipath strengths to locate a mobile user without a GPS receiver. We validated our algorithm in a commercial network.

Keywords

3G mobile communication; cellular radio; mobile handsets; neural nets; telecommunication computing; CDMA2000 cellular network; emergency calls; location based services; mobile location management; mobile phones; multipath strengths; network optimization; neural networks; Cellular neural networks; Cellular phones; FCC; Fingerprint recognition; GSM; Global Positioning System; Land mobile radio cellular systems; Mobile handsets; Neural networks; Wireless networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks, 2008. IJCNN 2008. (IEEE World Congress on Computational Intelligence). IEEE International Joint Conference on

Conference_Location

Hong Kong

ISSN

1098-7576

Print_ISBN

978-1-4244-1820-6

Electronic_ISBN

1098-7576

Type

conf

DOI

10.1109/IJCNN.2008.4634382

Filename

4634382