Multi-system-multi-operator localization in PLMN using neural networks
International Journal of Communication Systems
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This paper presents a new mobile station (MS) localization method using round trip time (RTT) measurements in the UMTS-FDD [1]. Three or more base stations (BS) performing RTT measurements of a signal from a mobile station (MS) are necessary for its localization. However, when some of the measurements are from non-line-of-sight (NLoS) paths, the location errors can be very large. We propose a method that takes into account possible large RTT error measurements caused by NLoS. To this end, the new method measures the best coherence between the RTT estimates and allows the mobile to select the three most reliable measures. This method does not depend on a particular distribution of the NLoS error and allows the selection of the least dasianoisypsila RTT when all measurements are of LoS type. Theoretical analysis is provided to assess the performance gain of our proposed algorithm and validated by realistic simulation results.