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A grouping protocol for improving localization bias-correction

Ji, Yiming; Zhang, Yuhang; Wang, Peng


In the previous work we proposed a method to correct the bias in localization algorithms in n dimensional space with an arbitrary number of sensors at known locations. The key mathematical tools used in the bias-correction method are Taylor series and Jac

CollectionsANU Research Publications
Date published: 2012
Type: Conference paper
Source: 2012 2nd Australian Control Conference, AUCC 2012


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