Localization Bias Correction in n-Dimensional Space
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]
|Collections||ANU Research Publications|
|Source:||Proceedings of ICASSP 2010|
|01_Ji_Localization_Bias_Correction_2010.pdf||205 kB||Adobe PDF||Request a copy|
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