Adaptive Algorithm for Mobile User Positioning Based on Environment Estimation

Abstract

This paper analyzes the challenges to realize an infrastructureindependent and a low-cost positioning method in cellular networks based on RSS (Received Signal Strength) parameter, auxiliary timing parameter and environment estimation. The proposed algorithm has been evaluated using field measurements collected from GSM (Global System for Mobile Communications) network, but it is technology independent and can be applied in UMTS (Universal Mobile Telecommunication Systems) and LTE (Long-Term Evolution) networks, also.