Skip navigation

Cramér-Rao bound analysis of localization using signal strength difference as location fingerprint

Cramér-Rao bound analysis of localization using signal strength difference as location fingerprint

Hossain, A.K.M. Mahtab and Soh, Wee-Seng (2010) Cramér-Rao bound analysis of localization using signal strength difference as location fingerprint. In: 2010 Proceedings IEEE INFOCOM. IEEE, pp. 1-9. ISBN 978-1-4244-5836-3 ISSN 0743-166X (doi:https://doi.org/10.1109/INFCOM.2010.5462020)

[img]
Preview
PDF (Aurthor Accepted Manuscript)
16362 HOSSAIN_Cramer-Rao_Bound_Analysis_2010.pdf - Accepted Version

Download (368kB) | Preview

Abstract

In this paper, we analyze the Cramér-Rao Lower Bound (CRLB) of localization using Signal Strength Difference (SSD) as location fingerprint. This analysis has a dual purpose. Firstly, the properties of the bound on localization error may help to design efficient localization algorithm. For example, utilizing one of the properties, we propose a way to define weights for a weighted K-Nearest Neighbor (K-NN) scheme which is shown to perform better than the K-NN algorithm. Secondly, it provides suggestions for a positioning system design by revealing error trends associated with the system deployment. In both cases, detailed analysis as well as experimental results are presented in order to support our claims.

Item Type: Conference Proceedings
Title of Proceedings: 2010 Proceedings IEEE INFOCOM
Additional Information: Date of Conference: 14-19 March 2010
Uncontrolled Keywords: Indoor localization; Cramér-Rao lower bound analysis; Signal strength difference; Location fingerprint; Localization error; Localization algorithm; Weighted K-nearest neighbour; K-NN scheme; Positioning system design; Error trend
Faculty / School / Research Centre / Research Group: Faculty of Engineering & Science > School of Computing & Mathematical Sciences (CMS)
Faculty of Engineering & Science
Last Modified: 04 Mar 2022 13:08
URI: http://gala.gre.ac.uk/id/eprint/16362

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics