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We study received signal strength-based cooperative localization in wireless sensor networks. We assume that the measurement noise fits a contaminated Gaussian model so as to take into account some outlier conditions. In addition, some environment-dependent parameters are assumed to be unknown. We propose an expectation-maximization based algorithm for robust centralized network localization without...
The problem of locating a mobile station in a wireless network has been extensively investigated due to the growing need for reliable location-based services. In non-line-of-sight environments, the positioning accuracy of classical least-squares based solutions is inaccurate. In order to mitigate the effect induced by non-line-of-sight errors, we address a novel robust nonparametric approach. Herein,...
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