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|Title:||Error analysis for fingerprint-based localization||Authors:||Jin, Y.
Nonparametric density estimation
Region of Confidence
|Issue Date:||May-2010||Citation:||Jin, Y., Soh, W.-S., Wong, W.-C. (2010-05). Error analysis for fingerprint-based localization. IEEE Communications Letters 14 (5) : 393-395. ScholarBank@NUS Repository. https://doi.org/10.1109/LCOMM.2010.05.092152||Abstract:||In this paper, we derive the theoretical error Probability Density Function (PDF) and Region of Confidence (RoC) conditioned on the on-line signal parameter vector, for a generalized fingerprint-based localization system. As the computations of these terms require the exact expression of the joint PDF for both the device location and the on-line signal parameter vector, which is often not available practically, we propose to approximate this joint PDF by Nonparametric Kernel Density Estimation techniques using the training fingerprints. © 2010 IEEE.||Source Title:||IEEE Communications Letters||URI:||http://scholarbank.nus.edu.sg/handle/10635/55905||ISSN:||10897798||DOI:||10.1109/LCOMM.2010.05.092152|
|Appears in Collections:||Staff Publications|
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