Please use this identifier to cite or link to this item: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/12243
Title: An Improved Resampling Approach for Particle Filters in Tracking
Authors: Daniyan, Abdullahi
Gong, Yu
Lambothoran, Sangarapillai
Issue Date: 23-Aug-2017
Publisher: IEEE
Abstract: Resampling 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.
URI: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/12243
ISSN: 2165-3577
Appears in Collections:Electrical/Electronic Engineering

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