Combination of interacting multiple models with the particle filter for three-dimensional target tracking in underwater wireless sensor networks
type: Item
instance of: scholarly article
title: Combination of interacting multiple models with the particle filter for three-dimensional target tracking in underwater wireless sensor networks
zbMATH Open document ID: 1264.93180
DOI: 10.1155/2012/829451
author: Xin Wang
author: Mengxi Xu
author: Huibin Wang
author: Yan Wu
author: Haiyan Shi
published in: Mathematical Problems in Engineering
publication date: 2013-06-11T00:00:00Z
review text: Summary: Tracking underwater targets is a focused application area in modern underwater defence systems. Using traditional techniques based on imaging or sensor arrays may be difficult and impractical in some mission-critical systems. Alternatively, the underwater wireless sensor network (UWSN) is able to offer a promising solution. This paper tackles the problem of accurately tracking underwater targets moving through the UWSN environment. This problem is considered nonlinear and non-Gaussian where the present solution methods based on the particle filter technique are powerful and simple to implement. For three-dimensional underwater maneuvering target tracking, the traditional particle filter tracking algorithm may fail to track the targets robustly and accurately. Thus, the interacting multiple model method is combined with the particle filter to cope with uncertainties in target maneuvers. Simulation results show that the proposed method is a promising substitute for the traditional imaging-based or sensor-based approaches.
Mathematics Subject Classification ID: 93C95
Mathematics Subject Classification ID: 93E11
zbMATH DE Number: 6173614
Wikidata QID: Q58912133
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2012/829451
OpenAlex ID: W2102042285
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description: scientific article; zbMATH DE number 6173614