Localization Bias Correction in n-Dimensional Space
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Ji, Yiming
Yu, Changbin (Brad)
Anderson, Brian
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Institute of Electrical and Electronics Engineers (IEEE Inc)
Abstract
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 bias-correction method can correct the bias very well in most situations.
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Proceedings of ICASSP 2010
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2037-12-31
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