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Communication Dans Un Congrès Année : 2022

Use of 5G and mmWave radar for positioning, sensing, and line-of-sight detection in airport areas

Fathia Ben Slama
  • Fonction : Auteur
  • PersonId : 1199856
Kanaan Abdo
  • Fonction : Auteur
  • PersonId : 1199857
Eliot Vignaud
  • Fonction : Auteur
  • PersonId : 1199858
Alexandre Simonin
  • Fonction : Auteur
  • PersonId : 1199859
Elena Simona Lohan
  • Fonction : Auteur
  • PersonId : 1053682
Hadeel S Obaid
  • Fonction : Auteur
  • PersonId : 1199860
Taylan Yesilyurt
  • Fonction : Auteur
  • PersonId : 1199861
P a D Nirmal Jayawardana
  • Fonction : Auteur
  • PersonId : 1199862
Bo Tan
  • Fonction : Auteur
  • PersonId : 1199863
Alexandre Duchevet
  • Fonction : Auteur
  • PersonId : 1199865
Mohamed Ellejmi
  • Fonction : Auteur
  • PersonId : 1199866

Résumé

This paper explores innovative low-cost technologies, widely used outside of Air Traffic Management (ATM), for use in airport surface surveillance. These technologies consist of a 5G-signal-based surveillance solution and a millimeter wave (mmWave) radar augmented with artificial intelligence (AI). The 5G solution is based on the combination of 3D Vector Antenna, innovative signal processing techniques, and hybridization techniques based on time-of-arrival and angle-ofarrival estimates with uplink and downlink 5G signals, as well as Machine Learning (ML)-based Line of Sight (LOS) detection algorithms. The mmWave solution is based on mmWave radar for non-cooperative target's positioning and sensing, combined with deep learning for objects classification. Standalone 5G positioning accuracy reaches m-level accuracy in LOS scenarios and it is better with downlink reference signals than with uplink ones, while it deteriorates quite drastically in NLOS scenarios. LOS detection accuracies above 84% average accuracy can be achieved with ML. The mmWave radar is tested in different scenarios (short, medium and long range) and it provides cost-effective surface surveillance up to few hundred meters (depending on the object radar cross section RCS) with ±60°field of view. The work is being conducted within the H2020 European-funded project NewSense and it delves into the 5G, Vector Antennas, mmWave, and ML/AI capabilities for future ATM solutions.
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Dates et versions

hal-03891511 , version 1 (09-12-2022)

Identifiants

  • HAL Id : hal-03891511 , version 1

Citer

Fathia Ben Slama, Kanaan Abdo, Eliot Vignaud, Alexandre Simonin, Elena Simona Lohan, et al.. Use of 5G and mmWave radar for positioning, sensing, and line-of-sight detection in airport areas. SESAR Innovation Days 2022, Dec 2022, Budapest, Hungary. ⟨hal-03891511⟩

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