The 1090 Megahertz Riddle: A Guide to Decoding Mode S and ADS-B Signals

Authors

Junzi Sun
Delft University of Technology, Faculty of Aerospace Engineering
https://orcid.org/0000-0003-3888-1192
Keywords: Aircraft Surveillance, Decoding, Mode S, ADS-B, Open data, pyModeS

Synopsis

In the last twenty years, aircraft surveillance has moved from controller-based interrogation to automatic broadcast. The Automatic Dependent Surveillance-Broadcast (ADS-B) is one of the most common methods for aircraft to report their state information like identity, position, and speed. Like other Mode S communications, ADS-B makes use of the 1090 megahertz transponder to transmit data. The protocol for ADS-B is open, and low-cost receivers can easily be used to intercept its signals. Many recent air transportation studies have benefited from this open data source. However, the current literature does not offer a systematic exploration of Mode S and ADS-B data, nor does it explain the decoding process.

This book tackles this missing area in the literature. It offers researchers, engineers, and enthusiasts a clear guide to understanding and making use of open ADS-B and Mode S data. The first part of this book presents the knowledge required to get started with decoding these signals. It includes background information on primary radar, secondary radar, Mode A/C, Mode S, and ADS-B, as well as the hardware and software setups necessary to gather radio signals. After that, the 17 core chapters of the book investigate the details of all types of ADS-B signals and commonly used Mode S signals. Throughout these chapters, examples and sample Python code are used extensively to explain and demonstrate the decoding process. Finally, the last chapter of the book offers a summary and a brief overview of research topics that go beyond the decoding of these signals.

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Author Biography

Junzi Sun, Delft University of Technology, Faculty of Aerospace Engineering

Junzi Sun is an assistant professor at TU Delft, currently working in the CNS/ATM group of the Aerospace Engineering Faculty. He is passionate about open-source, open science, and making air transportation more sustainable.

He was born in China and completed his bachelor’s degree in telecommunication at Beijing University of Posts and Telecommunications. Then, he moved to Europe and obtained his master’s degree in aerospace engineering at Polytechnic University of Catalonia. After that, he worked in Spain and France for a few years before continuing his doctoral research in the Netherlands, where he obtained his Ph.D. degree and currently works and lives.

References

Blythe, W., Anderson, H., and King, N. Ads-b implementation and operations guidance

document. International Civil Aviation Organization, 2011.

Carlitz, L. “The arithmetic of polynomials in a Galois field”. In: American Journal of

Mathematics 54.1 (1932), pp. 39–50.

Chomik, G. “The future of collision avoidance–ACAS X”. In: International Journal of

Engineering Trends and Technology 39.5 (2016), pp. 284–287.

Chulliat, A., Macmillan, S., Alken, P., Beggan, C., Nair, M., Hamilton, B., Woods, A.,

Ridley, V., Maus, S., and Thomson, A. “The US/UK world magnetic model for 2015-

”. In: (2015).

Doran, R.W. “The Gray Code”. In: Journal of Universal Computer Science 13.11 (2007),

pp. 1573–1597.

Gertz, J. L. Fundamentals of mode s parity coding. Tech. rep. Massachusetts Institute of

Technology, Lincoln Laboratory, 1984.

Grami, A. Introduction to Digital Communications. Academic Press, 2015. Chap. 10:

Error-Control Coding. DOI: 10.1016/B978-0-12-407682-2.00010-7.

Grappel, R. D., Harris, G. S., Kozar, M. J., and Wiken, R. T. “Elementary Surveillance

(ELS) and Enhanced Surveillance (EHS) Validation via Mode S Secondary Radar

Surveillance”. In: Project Report ATC-337, Lincoln Lab., MIT (2008).

Gray, D. E. and Barrett, C. W. Privacy Impact Assessment (PIA) - Federal Aviation Administration

(FAA) Privacy ICAO Address System. U.S. Department of Transportation,

ICAO. Annex 10 to the Convention on International Civil Aviation, Aeronautical Telecommunications.

International Civil Aviation Organization, 2002.

ICAO. Manual on Mode S Specific Services, 2nd Edition. Tech. rep. Doc 9688, AN/952.

ICAO. Secondary Surveillance Radar Mode S Advisory Circular. International Civil Aviation

Organization, 1983.

ICAO. Technical Provisions for Mode S Services and Extended Squitter. International Civil

Aviation Organization, 2008.

Kasami, T. and Matoba, S. “Some efficient shortened cyclic codes for burst-error correction

(Corresp.)” In: IEEE Transactions on Information Theory 10.3 (1964), pp. 252–

DOI: 10.1109/TIT.1964.1053665.

Kaune, R., Steffes, C., Rau, S., Konle, W., and Pagel, J. “Wide area multilateration

using ADS-B transponder signals”. In: Information Fusion (FUSION), 2012 15th International

Conference on. IEEE. 2012, pp. 727–734.

Mandel, T. and Mache, J. “Investigating CRC Polynomials that Correct Burst Errors.”

In: ICWN. 2009, pp. 632–637.

Mazda, F. Telecommunications engineer’s reference book. Butterworth-Heinemann,

Noschese, P., Porfili, S., and Di Girolamo, S. “Ads-b via iridium next satellites”. In:

Digital Communications-Enhanced Surveillance of Aircraft and Vehicles (TIWDC/ESAV),

Tyrrhenian International Workshop on. IEEE. 2011, pp. 213–218.

Olive, X. “traffic, a toolbox for processing and analysing air traffic data”. In: Journal

of Open Source Software 4.39 (2019), p. 1518. DOI: 10.21105/joss.01518.

Orlando, V. A. “The mode S beacon radar system”. In: The Lincoln Laboratory Journal

3 (1989), pp. 345–362.

RTCA. “Minimum operational performance standards for 1090MHz extended squitter

automatic dependent surveillance-broadcast (ADS-B) and traffic information servicesbroadcast

(TIS-B)[J]”. In: RTCA DO-260B 1.1 (2011), pp. 1365–1372.

RTCA. “Minimum Operational Performance Standards for Universal Access

Transceiver (UAT) automatic dependent surveillance–broadcast”. In: RTCA DO-

A (2002).

Schäfer, M., Strohmeier, M., Lenders, V., Martinovic, I., and Wilhelm, M. “Bringing up

OpenSky: A large-scale ADS-B sensor network for research”. In: IPSN-14 Proceedings of

the 13th International Symposium on Information Processing in Sensor Networks. IEEE.

, pp. 83–94.

Sun, J. and Hoekstra, J. “Analyzing Aircraft Surveillance Signal Quality at the 1090

Megahertz Radio Frequency”. In: Proceedings of the 9th International Conference for

Research in Air Transportation. 2020.

Sun, J. and Hoekstra, J. “Integrating pyModeS and OpenSky Historical Database”. In:

Proceedings of the 7th OpenSky Workshop 2019. Vol. 67. 2019. DOI: 10.29007/mmsb.

Sun, J., Vû, H., Ellerbroek, J., and Hoekstra, J. M. “pymodes: Decoding Mode S

Surveillance Data for Open Air Transportation Research”. In: IEEE Transactions on

Intelligent Transportation Systems (2019). DOI: 10.1109/TITS.2019.2914770.

Young, T. M. Performance of the Jet Transport Airplane: Analysis Methods, Flight Operations,

and Regulations. John Wiley & Sons, 2017.

cover image of the book The 1090mhz riddle

Published

May 10, 2021

Details about the available publication format: Download PDF

ISBN-13 (15)

9789463664028

Publication date (01)

2021-05-10