Target Tracking with a Flexible UAV Cluster Array
File(s) Target_tracking_with_a_flexible_UAV_cluster_array.pdf (2.06 MB)
Accepted version
Author(s)
Sridhar, V
Manikas, A
Type
Conference Paper
Abstract
Unmanned aerial vehicle (UAV) cluster applications,
for tasks such as target localisation and tracking, are required to
collect and utilise the data received on “flexible” sensor arrays,
where the sensors, i.e. UAVs in this scenario, have time-variant
positions. In this paper, using a parametric channel model, a UAV
cluster mobility model and a kinematic model of the targets, an
extended Kalman based state space model is proposed that tracks
the unknown UAV positions and target parameters snapshot by
snapshot. Simulation studies illustrating the tracking capabilities
of the proposed technique have been presented.
for tasks such as target localisation and tracking, are required to
collect and utilise the data received on “flexible” sensor arrays,
where the sensors, i.e. UAVs in this scenario, have time-variant
positions. In this paper, using a parametric channel model, a UAV
cluster mobility model and a kinematic model of the targets, an
extended Kalman based state space model is proposed that tracks
the unknown UAV positions and target parameters snapshot by
snapshot. Simulation studies illustrating the tracking capabilities
of the proposed technique have been presented.
Date Issued
2017-02-09
Date Acceptance
2016-08-20
Citation
2016 IEEE Globecom Workshops (GC Wkshps), 2017
Publisher
IEEE
Journal / Book Title
2016 IEEE Globecom Workshops (GC Wkshps)
Copyright Statement
© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Source
IEEE GLOBECOM 2016
Publication Status
Published
Start Date
2016-12-04
Finish Date
2016-12-08
Coverage Spatial
Washington, DC USA
