Design and application of satellite based ADS-B track display terminal

Abstract

Abstract: Compared with traditional ground-based monitoring system, satellite based ADS-B has the ability of flight monitoring and tracking in wide area. Satellite based ADS-B data has the characteristics of large surveillance range,scattered track information, high data frequency and large amount. According to the characteristics of satellitebased ADS-B data, a satellite-based ADS-B track display terminal software for global flight tracking is designed with its functions and system architecture. Key techniques of this software are introduced including satellite based ADS-B information receiving, analyzing and processing procedures, database management, target track display process and GIS implementation scheme. Practical data of Tiantuo experimental satellite are used to test the current terminal software, proving its practical value for effective flight monitoring and tracking using satellite based ADS-B data.

Key words: satellite based ADS-B, flight tracking, GIS, flight track display

CLC Number:

V351.37

LIU Haitao, JIN Xin. Design and application of satellite based ADS-B track display terminal[J]. .

References 8

[1]	BLAIR S.‘V’for vegetation: The mission of Proba-V[J]. ESA bulletin,2013(153): 10-21
[2]	FRANCIS R, VINCENT R, NO L J M, et al. The flying laboratory for the observation of ADS-B signals[J]. International Jouranl of Navigation and Observation, 2011-P73656: 1-5.
[3]	ALMINDEL,KAASK,BISGAARDM,etal.GOMX-1 FlightExperience and Air Traffic Monitoring Results[C]//28th Annual AIAA/USU Conference on Small Satellites, 2014: SSC14-XII-7.
[4]	DUAN P, RANKIN J. ADS-B space-oriented message set design[C]//Integrated Communications, Navigation and Surveilance Conference（ICNS）, Herndon, May 10-12, 2011: O2-1-O2-12.
[5]	MARTIN J P, GARCIA C E, FOLONIER M F, et al. Simulaci n de Collisin de Mensajes ADS-B[C]//VIII Conferencia Cientifica de Telecomunicaciones, Tecnologias de la Informaci佼n y las comunicaciones,Quito, 21-23 Octubre, 2015: 1-17.
[6]	PRYT R V D, VINCENTR. A simulation of signal collisions over the North Atlantic for a spaceborne ADS-B receiver using aloha protocol[J].Positioning, 2015, 6(3): 23-31.
[7]	GARCIA M A, STAFFORD J, MINNIX J, et al. Aireon Space Based ADS-B Performance Model[C]//Integrated Communication, Navigation,and Surveillance Conference. IEEE, 2015: C2-1-C2-10
[8]	RTCA. DO-260B, Minimum Operational Performance Standards for 1 090 MHz Extended Squitter Automatic Dependent Surveillance-Broadcast and Traffic Information Services-Broadcast(TIS-B)[S].Washington DC: Radio Technical commission for Aeronautics, 2009.

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[14]	WANG Jing,WANG Chen-guang,DING Jian-li,WANG Xi-yan. Research on design method of aviation cargo and equipment tracking system [J]. , 2014, 32(6): 29-32.