<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>This paper discusses and analyzes the 1090ES mode ADS-B and examines the airborne ADS-B transponder and ground monitoring sensing nodes. The ADS-B signal receiver structure converts the received radio signal to a zero IF signal for digital filtering to obtain phase information. The cognitive radio spectrum monitoring technology mainly uses periodic characteristic monitoring to maximize the network's security in the era of artificial intelligence. For a set of ADS-B messages from the same source, the correlation coefficients of the two variation amounts are carried out to discriminate between real targets and spoofed interference, and the source consistency detection method is used to reduce the probability of false alarms. The results show that when the number of signal bars is greater than 11, the correlation value of the real signal is greater than 0.61, while the correlation value of the spoofed signal is around 0.22, which can be better distinguished.</p>
</abstract>

This paper discusses and analyzes the 1090ES mode ADS-B and examines the airborne ADS-B transponder and ground monitoring sensing nodes. The ADS-B signal receiver structure converts the received radio signal to a zero IF signal for digital filtering to obtain phase information. The cognitive radio spectrum monitoring technology mainly uses periodic characteristic monitoring to maximize the network's security in the era of artificial intelligence. For a set of ADS-B messages from the same source, the correlation coefficients of the two variation amounts are carried out to discriminate between real targets and spoofed interference, and the source consistency detection method is used to reduce the probability of false alarms. The results show that when the number of signal bars is greater than 11, the correlation value of the real signal is greater than 0.61, while the correlation value of the spoofed signal is around 0.22, which can be better distinguished.

Research on ADS-B spoof detection technology based on radio spectrum features

Civil Aviation Flight University of China

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

{"article-title":"Research on ADS-B spoof detection technology based on radio spectrum features"}

This paper discusses and analyzes the 1090ES mode ADS-B and examines the airborne ADS-B transponder and ground monitoring sensing nodes. The ADS-B signal...

Research on ADS-B spoof detection technology based on radio spectrum features

Online veröffentlicht: 28. Okt. 2023

Seitenbereich: -

Eingereicht: 22. Jan. 2023

Akzeptiert: 08. Mai 2023

DOI: https://doi.org/10.2478/amns.2023.2.00848

Schlüsselwörter
ADS-B signal, Monitoring sensing, Radio spectrum, Spoofing signal, Real signal, False alarm probability

© 2023 Jiahe Li et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Research on ADS-B spoof detection technology based on radio spectrum features

Online veröffentlicht: 28. Okt. 2023

Seitenbereich: -

Eingereicht: 22. Jan. 2023

Akzeptiert: 08. Mai 2023

DOI: https://doi.org/10.2478/amns.2023.2.00848

SchlüsselwörterADS-B signal, Monitoring sensing, Radio spectrum, Spoofing signal, Real signal, False alarm probability

© 2023 Jiahe Li et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
ADS-B signal, Monitoring sensing, Radio spectrum, Spoofing signal, Real signal, False alarm probability