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Adaptive Multi-beamforming for Space-based ADS-B

Published online by Cambridge University Press:  15 November 2018

Sunquan Yu Open the ORCID record for Sunquan Yu [Opens in a new window] ,
Lihu Chen ,
Songting Li  and
Xiang Zhang
Sunquan Yu*
Affiliation:
(College of Aerospace Science and Engineering, National University of Defense Technology, P.R. China)
Lihu Chen
Affiliation:
(College of Aerospace Science and Engineering, National University of Defense Technology, P.R. China)
Songting Li
Affiliation:
(College of Aerospace Science and Engineering, National University of Defense Technology, P.R. China)
Xiang Zhang
Affiliation:
(College of Aerospace Science and Engineering, National University of Defense Technology, P.R. China)
*
(E-mail: [email protected])
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Abstract

We investigate a strategy to address the problem of low aircraft detection probability of space-based Automatic Dependent Surveillance-Broadcast (ADS-B). A nineteen-element hexagonal array and adaptive multi-beamforming method is proposed. This method aims to adjust the beam pattern dynamically to reduce signal collision and enlarge coverage. With the focus on the mission requirement of global aircraft detection by 2020, the appropriate gain and direction of beams are studied and designed in detail. Theoretical analysis and simulations show that this adaptive multi-beam antenna can greatly improve flight detection probability at an average reporting interval from 10 seconds to 5 seconds when compared with the traditional fixed multi-beam antenna. The results of this work show that the design of a 19-element antenna along with the adaptive multi-beamforming method can be considered as a building block of future space-based ADS-B.

Keywords

ADS-BBeamformingArray AntennaSatellite
Type
Research Article
Information
The Journal of Navigation , Volume 72 , Issue 2 , March 2019 , pp. 359 - 374
Copyright
Copyright © The Royal Institute of Navigation 2018 

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References

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