Please use this identifier to cite or link to this item: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/12243
Full metadata record
DC FieldValueLanguage
dc.contributor.authorDaniyan, Abdullahi-
dc.contributor.authorGong, Yu-
dc.contributor.authorLambothoran, Sangarapillai-
dc.date.accessioned2021-08-01T21:44:05Z-
dc.date.available2021-08-01T21:44:05Z-
dc.date.issued2017-08-23-
dc.identifier.issn2165-3577-
dc.identifier.urihttp://repository.futminna.edu.ng:8080/jspui/handle/123456789/12243-
dc.description.abstractResampling is an essential step in particle filtering (PF) methods in order to avoid degeneracy. Systematic resampling is one of a number of resampling techniques commonly used due to some of its desirable properties such as ease of implementation and low computational complexity. However, it has a tendency of resampling very low weight particles especially when a large number of resampled particles are required which may affect state estimation. In this paper, we propose an improved version of the systematic resampling technique which addresses this problem and demonstrate performance improvement.en_US
dc.publisherIEEEen_US
dc.titleAn Improved Resampling Approach for Particle Filters in Trackingen_US
Appears in Collections:Electrical/Electronic Engineering

Files in This Item:
File Description SizeFormat 
Double_column.pdf372.51 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.