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ADS-B Signal Separation Via Complex Neural Network

• Conference paper
• First Online: 02 November 2021
• Cite this conference paper

• Yue Yang 19 ,
• Haipeng Zhang 19 ,
• Haoran Zha 20 &
• Ruiliang Song 19  

Part of the book series: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ((LNICST,volume 394))

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• International Conference on Mobile Multimedia Communications

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In the sphere of air surveillance, the Automatic Dependent Surveillance-Broadcast is a valuable method. However, the ADS-B system suffers from a considerable overlap issue, and has a significant influence on signal decoding, resulting in incorrect decoding or even data loss. A complicated neural network-based separation approach for ADS-B overlap signals is presented in this paper. Taking the two-signal overlap as the research object, the simulation data set is generated. After the Hilbert transform of the overlap ADS-B signal, it is input into the complex neural network, and finally the predicted waveform of the source signal is output to realize ADS-B signal separation. Experiments have shown that the technique is more efficient and has a lower error rate than previously proposed algorithms.

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Beijing R&D Center, The 54th Research Institute of CETC, Beijing, 100010, China

Yue Yang, Haipeng Zhang & Ruiliang Song

Harbin Engineering University, Harbin, 150001, China

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Correspondence to Haoran Zha .

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Fujian Normal University, Fuzhou, China

Jinbo Xiong

Illinois State University, Normal, IL, USA

Guizhou University, Guiyang, China

Changgen Peng

Youliang Tian

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Yang, Y., Zhang, H., Zha, H., Song, R. (2021). ADS-B Signal Separation Via Complex Neural Network. In: Xiong, J., Wu, S., Peng, C., Tian, Y. (eds) Mobile Multimedia Communications. MobiMedia 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 394. Springer, Cham. https://doi.org/10.1007/978-3-030-89814-4_49

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Published : 02 November 2021

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• Doctoral Theses

Development of a high-precision ADS-B based conflict alerting system for operations in the airport environment

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Home > ETD > OPEN_ACCESS_THESES > 624

Open Access Theses

Ads-b used in improvement of air traffic control.

Hao Wang , Purdue University

Date of Award

Spring 2015

Degree Type

Degree name.

Master of Science in Aeronautics and Astronautics

Aeronautics and Astronautics

First Advisor

Dengfeng Sun

Committee Chair

Committee member 1.

Haifeng Wang

Committee Member 2

Automatic dependent surveillance – broadcast (ADS-B) is a central component of the NextGen air traffic control program. This surveillance technology can replace current secondary surveillance radars (SSR) and improve cockpit situational awareness. The service can improve traffic surveillance capabilities by sharing accurate aircraft position information between pilots and air traffic controllers. In addition, ADS-B provides pilots with weather as well as air traffic information for nearby area. In order to receive these traffic and weather services, a pilot must have appropriate onboard equipment including GPS receiver, Universal Access Transceiver, antenna and multi-function cockpit display which is capable of receiving and displaying information. Compared to traditional surveillance technology used in air traffic control, aircraft updates and broadcasts its information more rapidly with ADS-B since it determines its position via satellite navigation, enabling it to be tracked. ADS-B also has a large coverage including most of areas in the world. This feature is especially helpful in special areas such as mountain area for air traffic controllers. The most important potential of ADS-B is to enable procedures not possible with current SSR that would increase the capacity of airspace system due to its high navigation accuracy. ADS-B is also helpful to improve the safety in air traffic. However, ADS-B program hasn't been operating well even though FAA highly recommended it and made rules on it. This paper discussed the basic advantages and disadvantages of ADS-B. The experiment was designed to estimate the navigation accuracy of ADS-B by modeling several flights in MATLAB with data from FAA and IGS and then compare the result in ideal situation with current surveillance technology. The result showed that the accuracy of ADS-B is higher than current radar system in this designed situation. The limit of the experiment and its difference to the real world are discussed in the paper as well.

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Wang, Hao, "ADS-B used in Improvement of Air Traffic Control" (2015). Open Access Theses . 624. https://docs.lib.purdue.edu/open_access_theses/624

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ADS-B Attack Classification using Machine Learning Techniques

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Home > Student Scholarship > ETD > 1106

UNF Graduate Theses and Dissertations

Automatic dependent surveillance broadcast (ads-b) security mitigation through multilateration.

Skylar Stroman Follow

Master's Thesis

College of Computing, Engineering & Construction

Degree Name

Master of Science in Electrical Engineering (MSEE)

Engineering

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University of North Florida. School of Engineering

First Advisor

Dr Alan Harris

Second Advisor

Dr O. Patrick Kreidl

Third Advisor

Dr John Nuszkowski

Fourth Advisor

Dr Brian Kopp

Automatic Dependent Surveillance Broadcast (ADS-B) was mandated January 1 st , 2020 to all commercial aircraft that fly over 10,000 ft. This radio frequency (RF) based technology is part of an international plan to phase out radar-based surveillance within the airspace. Unfortunately, due to a lack of encryption and other security measures, ADS-B transmission remains open for possible exploitation. This thesis will explore the use of Multilateration (MLAT) to validate location data provided within the ADS-B framework. MLAT uses the Time Difference of Arrival (TDOA) at multiple locations to determine the origin of a received signal. Additionally, as MLAT greatly depends on the topology of receiver location, multiple configurations will be examined and simulated within the confines of a real-world application. Finally, adversary spoofing scenarios were explored by injecting a stationary and moving adversary into the system. The adversary transmitted ADS-B location data from a different origin than the packets would indicate to create a fake aircraft in the airspace. The performance of the MLAT model was analyzed to determine its ability to flag the adversary’s data as suspicious.

Suggested Citation

Stroman, Skylar, "Automatic Dependent Surveillance Broadcast (ADS-B) Security Mitigation through Multilateration" (2021). UNF Graduate Theses and Dissertations . 1106. https://digitalcommons.unf.edu/etd/1106

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