Improved Sensing and Positioning via 5G and mmWave radar for Airport Surveillance
Autor: | Tan, Bo, Lohan, Elena Simona, Sun, Bo, Wang, Wenbo, Yesilyurt, Taylan, Morlaas, Christophe, Pena, Carlos David Morales, Abdo, Kanaan, Slama, Fathia Ben, Simonin, Alexandre, Ellejmi, Mohamed |
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Rok vydání: | 2022 |
Předmět: | |
Druh dokumentu: | Working Paper |
Popis: | 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 and 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. Comment: 8 pages, 15 figures |
Databáze: | arXiv |
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