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Bias-Correction In Localization Algorithms

Ji, Yiming; Yu, Changbin (Brad); Anderson, Brian

Description

In this paper we introduce a new approach to determine the bias in localization algorithms by mixing Taylor series and Jacobian matrices, which results in an easily calculated analytical expression for the bias. To illustrate this approach, we analyze the proposed method in two situations using localization algorithms based on distance measurements. Monte Carlo simulations verify that the proposed method is consistent with the performance of localization algorithms, which means the...[Show more]

CollectionsANU Research Publications
Date published: 2009
Type: Conference paper
URI: http://hdl.handle.net/1885/53760
Source: Proceedings of IEEE Global Communications Conference, Exhibition & Industry Forum (GLOBECOM 2009)
DOI: 10.1109/GLOCOM.2009.5425645

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