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Robust Bias Mitigation for Localization in Wireless Networks

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dc.contributor.advisor Jabbari, Bijan
dc.contributor.author Bhagwat, Nikhil
dc.creator Bhagwat, Nikhil
dc.date 2010-04-30
dc.date.accessioned 2010-05-20T14:09:41Z
dc.date.available NO_RESTRICTION en_US
dc.date.available 2010-05-20T14:09:41Z
dc.date.issued 2010-05-20T14:09:41Z
dc.identifier.uri https://hdl.handle.net/1920/5829
dc.description.abstract Localization of a wireless device or a sensor node has been a problem of great importance in recent years. Location services are becoming an essential part of the traditional wireless networks as well as the wireless sensor networks. Indoor localization in particular has been an issue of interest in recent studies since GPS is not suitable for indoor environments. The main issue in target node location estimation is the distance estimates affected by the non-line-of-sight (NLOS) signal measurements. In any practical setting, the NLOS errors are inevitable and need to be mitigated in order to achieve acceptable accuracy. In this work, first a theoretical analysis of effect of bias on the localization accuracy is performed. Then, a novel technique is presented which reduces the adverse effects of bias by utilizing the topological diversity provided by the unique beacon combinations from the power set of N(>3) beacons. The proposed approach consists of two complementary weighted average methods combined to provide a high level of robustness. The simulation and empirical results show that the presented technique is effective independent of the bias distribution. Thus it can be implemented on top of variety of existing localization methods in wireless networks to mitigate the adverse effects of NLOS propagation and achieve high accuracy in a practical scenario.
dc.language.iso en_US en_US
dc.subject localization en_US
dc.subject wireless networks en_US
dc.subject non-line-of -sight en_US
dc.subject bias mitigation en_US
dc.subject location services en_US
dc.title Robust Bias Mitigation for Localization in Wireless Networks en_US
dc.type Thesis en
thesis.degree.name Master of Science Electrical Engineering en_US
thesis.degree.level Master's en
thesis.degree.discipline Electrical Engineering en
thesis.degree.grantor George Mason University en


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