Analysis of airplane signatures using passive VHF radar for recognition perspectives - CentraleSupélec Accéder directement au contenu
Communication Dans Un Congrès Année : 2019

Analysis of airplane signatures using passive VHF radar for recognition perspectives

Résumé

Radio beacons, at around 115 MHz (VHF, VOR), are used as opportunity donors in a passive radar configuration. Full-wave simulation of three categories (according to size) of aircrafts shows that their bistatic RCS are statistically comparable without any additional information but perform differently in time (while flying). This discrepancy can be exploited to recognize the aircrafts among the categories. Measurements confirm these ideas and indicate that it may be possible to differentiate the aircrafts among the same category. Encouraging initial results were obtained using Convolutional Neural Networks to classify airplane categories combining simulated bistatic RCS results and real trajectories (collected from ADS-B data).
Fichier principal
Vignette du fichier
radar_2019_airplanes_final_published.pdf (634.18 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-02492643 , version 1 (29-03-2021)

Identifiants

Citer

Israel Hinostroza Sáenz, Chengfang Ren, Thierry Letertre, Jérémy Fix. Analysis of airplane signatures using passive VHF radar for recognition perspectives. 2019 International Radar Conference, Sep 2019, Toulon, France. ⟨10.1109/RADAR41533.2019.171376⟩. ⟨hal-02492643⟩
98 Consultations
177 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More