An Experimental Evaluation of AGA Algorithm for RSS Positioning in GSM Networks

The quality of location based services depends on the positioning accuracy of mobile station estimation. Generally, there are several methods suitable for cellular networks. The more accurate methods are way more expensive to implement. On the contrary, there are methods with lower accuracy and much lower costs as well. Received Signal Strength method belongs to the second case. The purpose of this paper is to experimentally evaluate adaptive geometric algorithm implemented into RSS method. The algorithm is an improved version of basic geometric algorithm and it is compared to it as well as to standard Least Squares method. The properties of the proposed algorithm are evaluated in two different environments: urban and rural. The environments have absolutely different signal propagation conditions and the algorithm performance was validated in the representative samples of environment.

[1]  Ondrej Krejcar Localization by Wireless Technologies for Managing of Large Scale Data Artifacts on Mobile Devices , 2009, ICCCI.

[2]  M. Hata,et al.  Mobile location using signal strength measurements in a cellular system , 1980, IEEE Transactions on Vehicular Technology.

[3]  Ansis Klūga,et al.  Combined Information Processing from GPS and IMU using Kalman Filtering Algorithm , 2009 .

[4]  Kyandoghere Kyamakya,et al.  Database Correlation using Bayes Filter for Mobile Terminal Localization in GSM Suburban Environments , 2006, 2006 IEEE 63rd Vehicular Technology Conference.

[5]  D. Eidukas,et al.  Models Quality of Electronics Products , 2010 .

[6]  Xin Wang,et al.  A TOA-based location algorithm reducing the errors due to non-line-of-sight (NLOS) propagation , 2001, IEEE 54th Vehicular Technology Conference. VTC Fall 2001. Proceedings (Cat. No.01CH37211).

[7]  James J. Caffery,et al.  Wireless Location in CDMA Cellular Radio Systems , 1999 .

[8]  Peter Brida,et al.  A Novel Optimizing Algorithm for DV based Positioning Methods in ad hoc Networks , 2015 .

[9]  Chris L. C. Wong,et al.  GSM-based mobile positioning using WAP , 2000, 2000 IEEE Wireless Communications and Networking Conference. Conference Record (Cat. No.00TH8540).

[10]  W. Wieser,et al.  New Baseband Radio Channel Impulse Processing Algorithms , 2009 .

[11]  P. Brida,et al.  The Accuracy of RSS Based Positioning in GSM Networks , 2006, 2006 International Conference on Microwaves, Radar & Wireless Communications.