Collaborative tracking and positioning of unmanned aerial vehicles over wireless sensor networks
Bai, X; Yu, L; Li, G; et al.Liu, L; Chen, X
Date: 10 June 2024
Article
Journal
IEEE Transactions on Consumer Electronics
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Publisher DOI
Abstract
In recent years, wireless sensor networks have been
widely applied in information acquisition and real-time
monitoring of consumer electronics, particularly for tracking and
positioning of consumer unmanned aerial vehicles (UAVs) in
outdoor rescue scenarios. However, the challenging outdoor
environments introduce reliability and ...
In recent years, wireless sensor networks have been
widely applied in information acquisition and real-time
monitoring of consumer electronics, particularly for tracking and
positioning of consumer unmanned aerial vehicles (UAVs) in
outdoor rescue scenarios. However, the challenging outdoor
environments introduce reliability and security concerns in the
sensor data acquisition process, and there remains a significant
gap in related research efforts. To address this issue, this paper
introduces an amplify-and-forward relaying strategy to ensure
dependable signal transmission, while a residual saturation
mechanism is applied to tackle randomly occurring measurement
outliers. Additionally, a recursive extended Kalman filter is
developed for target tracking to address the challenge of UAVs
positioning within wireless sensor networks. The efficacy of the
proposed filtering algorithm is validated through simulations of
UAV target positioning. When compared with alternative
methods, the proposed approach demonstrates superior accuracy
in UAV positioning.
Computer Science
Faculty of Environment, Science and Economy
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