Please use this identifier to cite or link to this item:
|Title:||Error analysis for fingerprint-based localization|
Nonparametric density estimation
Region of Confidence
|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|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Jul 19, 2018
WEB OF SCIENCETM
checked on Jul 3, 2018
checked on May 5, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.