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Localization Bias Correction in n-Dimensional Space

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

Description

In previous work we proposed a method to determine the bias in localization algorithms using 2 or 3 sensors, whose location have been already identified, for targets in 2-dimensional space by mixing Taylor series and Jacobian matrices. In this paper we extend the bias-correction method to n-dimensional space with N sensors. To illustrate this approach, we analyze the proposed method in three situations using localization algorithms. Monte Carlo simulation results demonstrate the proposed...[Show more]

CollectionsANU Research Publications
Date published: 2010
Type: Conference paper
URI: http://hdl.handle.net/1885/59276
Source: Proceedings of ICASSP 2010
DOI: 10.1109/ICASSP.2010.5496177

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