Proceedings of the Multimedia University Engineering Conference (MECON 2022)

<Previous Article In Volume
Next Article In Volume>

Improvement in RSSI-Based Distance Estimation for Aircraft ADS-B Signal by Antenna Diversity

Authors
Junichi Naganawa1, *
1Electronic Navigation Research Institute (ENRI), National Institute of Maritime, Port and Aviation Technology (MPAT), Tokyo, Japan
*Corresponding author. Email: naganawa@mpat.go.jp
Corresponding Author
Junichi Naganawa
Available Online 23 December 2022.
DOI
10.2991/978-94-6463-082-4_31How to use a DOI?
Keywords
ADS-B; Received Signal Strength; Position Verification
Abstract

Automatic Dependent Surveillance―Broadcast (ADS-B) is an emerging means of aeronautical surveillance for air traffic control, in which aircraft periodically broadcast positional updates to ground stations. ADS-B is high performance, but anomaly positions should be detected and removed for safety and security. A possible method is estimating the receiver-aircraft distance based on received signal strength (RSS) and compare it with the reported position. For this, an improvement in distance estimation is proposed in this paper, where antenna diversity is exploited. ADS-B signals are transmitted from two antennas, installed on bottom and top of the aircraft body, respectively. By combining estimation results for the two antenna, estimation error caused by noise and fading can be mitigated. The proposed method was evaluated by measurement. The error was mitigated to a standard deviation of 12.2 km from 17.2 km (top antenna only) and 17.3 km (bottom antenna only).

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the Multimedia University Engineering Conference (MECON 2022)
Series
Advances in Engineering Research
Publication Date
23 December 2022
ISBN
10.2991/978-94-6463-082-4_31
ISSN
2352-5401
DOI
10.2991/978-94-6463-082-4_31How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Junichi Naganawa
PY  - 2022
DA  - 2022/12/23
TI  - Improvement in RSSI-Based Distance Estimation for Aircraft ADS-B Signal by Antenna Diversity
BT  - Proceedings of the Multimedia University Engineering Conference (MECON 2022)
PB  - Atlantis Press
SP  - 358
EP  - 366
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-082-4_31
DO  - 10.2991/978-94-6463-082-4_31
ID  - Naganawa2022
ER  -