Integrated display and simulation for automatic dependent surveillance–broadcast and traffic collision avoidance system data fusion
File(s)sensors-17-02611-v2.pdf (10.31 MB)
Published version
OA Location
Author(s)
Wang, Yanran
Xiao, Gang
Dai, Zhouyun
Type
Journal Article
Abstract
Automatic Dependent Surveillance–Broadcast (ADS-B) is the direction of airspace surveillance development. Research analyzing the benefits of Traffic Collision Avoidance System (TCAS) and ADS-B data fusion is almost absent. The paper proposes an ADS-B minimum system from ADS-B In and ADS-B Out. In ADS-B In, a fusion model with a variable sampling Variational Bayesian-Interacting Multiple Model (VSVB-IMM) algorithm is proposed for integrated display and an airspace traffic situation display is developed by using ADS-B information. ADS-B Out includes ADS-B Out transmission based on a simulator platform and an Unmanned Aerial Vehicle (UAV) platform. This paper describes the overall implementation of ADS-B minimum system, including theoretical model design, experimental simulation verification, engineering implementation, results analysis, etc. Simulation and implementation results show that the fused system has better performance than each independent subsystem and it can work well in engineering applications.
Date Issued
2017-11-13
Date Acceptance
2017-11-08
Citation
Sensors, 2017, 17 (11), pp.1-23
ISSN
1424-8220
Publisher
MDPI AG
Start Page
1
End Page
23
Journal / Book Title
Sensors
Volume
17
Issue
11
Copyright Statement
© 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access
article distributed under the terms and conditions of the Creative Commons Attribution
(CC BY) license (http://creativecommons.org/licenses/by/4.0/).
article distributed under the terms and conditions of the Creative Commons Attribution
(CC BY) license (http://creativecommons.org/licenses/by/4.0/).
License URL
Identifier
https://www.mdpi.com/1424-8220/17/11/2611
Subjects
0301 Analytical Chemistry
0805 Distributed Computing
0906 Electrical and Electronic Engineering
Analytical Chemistry
0502 Environmental Science and Management
0602 Ecology
Publication Status
Published
Date Publish Online
2017-11-13