Error analysis for fingerprint-based localization

Author

Jin, Yunye ; Soh, Wee-Seng ; Wong, Wai-Choong

Author_Institution

Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore, Singapore

Volume

14

Issue

5

fYear

2010

fDate

5/1/2010 12:00:00 AM

Firstpage

393

Lastpage

395

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.

Keywords

error analysis; estimation theory; fingerprint identification; nonparametric statistics; probability; device location; error analysis; generalized fingerprint-based localization system; nonparametric kernel density estimation; online signal parameter vector; probability density function; region of confidence; Bandwidth; Costs; Density functional theory; Error analysis; Error probability; Fingerprint recognition; Hardware; Kernel; Radio frequency; Training data; Fingerprint-based localization, error analysis, nonparametric density estimation, Region of Confidence;

fLanguage

English

Journal_Title

Communications Letters, IEEE

Publisher

ieee

ISSN

1089-7798

Type

jour

DOI

10.1109/LCOMM.2010.05.092152

Filename

5456043