Improvement in RSSI-Based Distance Estimation for Aircraft ADS-B Signal by Antenna Diversity
- 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.
Cite this article
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 -