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High-accuracy wireless localization is a promising technique for many location-aware applications, such as location-aware billing, manufacturing automation, and disaster rescue. In this paper, the authors investigate the performance for non-collaborative wireless localization using both analytical and numerical approaches. Based on a proposed hybrid multi-lateration approach, which combines the advantages of the linear and nonlinear least-squares methods, they can estimate the target location and then evaluate the localization performance by the expected localization error and expected Cramer-Rao Lower Bound (CRLB) in the entire target region.
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