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Error analysis for fingerprint-based localization

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3 Author(s)
Yunye Jin ; Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore, Singapore ; Wee-Seng Soh ; Wai-Choong Wong

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.

Published in:

Communications Letters, IEEE  (Volume:14 ,  Issue: 5 )

Date of Publication:

May 2010

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