Improved Sensing and Positioning via 5G and mmWave radar for Airport Surveillance
Tan, Bo; Lohan, Elena-Simona; Sun, Bo; Wang, Wenbo; Yesilyurt, Taylan; Morlaas, Christophe; David Morales Pena, Carlos; Abdo, Kanaan; Slama, Fathia Ben; Simonin, Alexandre; Ellejmi, Mohamed (2021)
Tan, Bo
Lohan, Elena-Simona
Sun, Bo
Wang, Wenbo
Yesilyurt, Taylan
Morlaas, Christophe
David Morales Pena, Carlos
Abdo, Kanaan
Slama, Fathia Ben
Simonin, Alexandre
Ellejmi, Mohamed
SESAR 3 Joint undertaking
2021
11th SESAR Innovation Days
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:tuni-202202282208
https://urn.fi/URN:NBN:fi:tuni-202202282208
Kuvaus
Peer reviewed
Tiivistelmä
This paper explores an integrated approach for improved sensing and positioning with applications in air traffic management (ATM) and in the Advanced Surface Movement Guidance & Control System (A-SMGCS). The integrated approach includes the synergy of 3D Vector Antenna with the novel time-of-arrival and angle-of-arrival estimate methods for accurate positioning, combining the sensing on the sub-6GHz and mmWave spectrum for the enhanced non-cooperative surveillance. For the positioning scope, both uplink and downlink 5G reference signals are investigated and their performance is evaluated. For the non-cooperative sensing scope, a novel 5G-signal-based imaging function is proposed and verified with realistic airport radio-propagation modelling and the AI-based targets tracking-and-motion recognition are investigated. The 5G-based imaging and mmWave radar based detection can be potentially fused to enhance surveillance in the airport. The work is being done within the European-funded project NewSense and it delves into the 5G, Vector Antennas, and mmWave capabilities for future ATM solutions.
Kokoelmat
- TUNICRIS-julkaisut [18384]