Please use this identifier to cite or link to this item: https://doi.org/10.1109/LCOMM.2010.05.092152
Title: Error analysis for fingerprint-based localization
Authors: Jin, Y.
Soh, W.-S. 
Wong, W.-C. 
Keywords: Error analysis
Fingerprint-based localization
Nonparametric density estimation
Region of Confidence
Issue Date: May-2010
Source: 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
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