Radiolocation in CDMA Cellular System Based on Joint Angle and Delay Estimation
Wireless Personal Communications: An International Journal
Localization from Connectivity in Sensor Networks
IEEE Transactions on Parallel and Distributed Systems
Fundamentals of wireless communication
Fundamentals of wireless communication
Computers and Electronics in Agriculture
A TOA-AOA-based NLOS error mitigation method for location estimation
EURASIP Journal on Advances in Signal Processing
Bayesian Filtering for Location Estimation
IEEE Pervasive Computing
Computers and Electronics in Agriculture
Bayesian inference for localization in cellular networks
INFOCOM'10 Proceedings of the 29th conference on Information communications
Accurate GSM indoor localization
UbiComp'05 Proceedings of the 7th international conference on Ubiquitous Computing
Overview of radiolocation in CDMA cellular systems
IEEE Communications Magazine
Bayesian-based localization in inhomogeneous transmission media
Proceedings of the 2013 Research in Adaptive and Convergent Systems
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In this paper, we present a Bayesian-based localization method to estimate the unknown location of a mobile station (MS) in a network given the known location of a set of base stations. In this study, the MS was covered by a base station if the signal to interference and noise ratio (SINR) was larger than a threshold. By assuming a priori knowledge of the location of the MS and a Gaussian distribution for the round-trip time (RTT) measurements, a posteriori estimation of the unknown location of the MS using Bayesian inference method was obtained. The impact of variation of various variables on the localization accuracy such as number of base stations covering the MS, number of base stations interfering with the communication between the MS and the covering base stations, fading factor between base stations and the MS, SINR threshold and the path-loss coefficient have been studied. In addition, the performance of the developed Bayesian-based method in terms of localization accuracy was evaluated when the MS was inside and outside the convex hull of the base stations. The results of this study showed an improvement in the mean localization error and the localization root mean square error (RMSE) compared to other similar studies.