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Localization performance evaluation of extended kalman filter in wireless sensors network
dc.contributor.author | Khan, Rafiullah |
dc.contributor.author | Khan, Sarmad Ullah |
dc.contributor.author | Khan, Shahid Ahmed |
dc.contributor.author | Khan, Mohammad Usman Ali |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial |
dc.date.accessioned | 2014-08-01T10:16:32Z |
dc.date.available | 2014-08-01T10:16:32Z |
dc.date.created | 2014 |
dc.date.issued | 2014 |
dc.identifier.citation | Khan, R. [et al.]. Localization performance evaluation of extended kalman filter in wireless sensors network. A: International Conference on Ambient Systems, Networks and Technologies. "Procedia Computer Science, 2014, vol. 32". Hasselt: Elsevier, 2014, p. 117-124. |
dc.identifier.isbn | 1877-0509 |
dc.identifier.uri | http://hdl.handle.net/2117/23666 |
dc.description.abstract | This paper evaluates the positioning and tracking performance of Extended Kalman Filter (EKF) in wireless sensors network. The EKF is a linear approximation of statistical Kalman Filter (KF) and has the capability to work efficiently in non-linear systems. The EKF is based on an iterative process of estimating current state information from the previously estimated state. Its working is based on the linearization of observation model around the mean of current state information. The EKF has small computation complexity and requires low memory compared to other Bayesian algorithms which makes it very suitable for low powered mobile devices. This paper evaluates the localization and tracking performance of EKF for (i) Position (P) model, (ii) Position-Velocity (PV) model and (iii) Position-Velocity-Acceleration (PVA) model. The EKF processes distance measurements from cricket sensors that are acquired through time difference of arrival between ultrasound and Radio Frequency (RF) signals. Further, localization performance under varying number of beacons/sensors is also evaluated in this paper. © 2014 Published by Elsevier B.V. |
dc.format.extent | 8 p. |
dc.language.iso | eng |
dc.publisher | Elsevier |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Automàtica i control |
dc.subject.lcsh | Wireless communication systems |
dc.subject.other | Extended Kalman filter |
dc.subject.other | Positioning |
dc.subject.other | Tracking |
dc.subject.other | Wireless sensors network |
dc.title | Localization performance evaluation of extended kalman filter in wireless sensors network |
dc.type | Conference report |
dc.subject.lemac | Comunicació sense fil, Sistemes de |
dc.identifier.doi | 10.1016/j.procs.2014.05.405 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | http://www.sciencedirect.com/science/article/pii/S187705091400605X |
dc.rights.access | Open Access |
local.identifier.drac | 14994434 |
dc.description.version | Postprint (published version) |
local.citation.author | Khan, R.; Khan, S.; Khan, S.; Khan, M. |
local.citation.contributor | International Conference on Ambient Systems, Networks and Technologies |
local.citation.pubplace | Hasselt |
local.citation.publicationName | Procedia Computer Science, 2014, vol. 32 |
local.citation.startingPage | 117 |
local.citation.endingPage | 124 |