Investigation of potential 5G RF interference with C-band radar operations and mitigation solutions

Anas A. Amaireh; Yan Zhang

doi:10.1117/12.2663427

14 June 2023 Investigation of potential 5G RF interference with C-band radar operations and mitigation solutions

Anas A. Amaireh, Yan Zhang

Proceedings Volume 12535, Radar Sensor Technology XXVII; 125350R (2023) https://doi.org/10.1117/12.2663427
Event: SPIE Defense + Commercial Sensing, 2023, Orlando, Florida, United States

Abstract

This study investigates the potential interference between 5G New Radio (NR) and radar altimeters in various environments, focusing on the impact on different radar types at varying heights and distances in urban and rural macrocell settings. The research also explores the development of a Convolutional Neural Network (CNN) deep learning model to classify and identify 5G NR and radar altimeter signals, aiming to detect harmful interference and enhance overall aviation safety. The results reveal significant interference effects on radar altimeters from various 5G base station configurations, especially at lower altitudes, and demonstrate the exceptional performance of the CNN model in classifying signals with high accuracy, sensitivity, and specificity. These findings highlight the importance of ongoing research to address interference mitigation techniques and improve signal classification methods, ensuring the safe coexistence of 5G and radar altimeter systems.

Conference Presentation

Citation Download Citation

Anas A. Amaireh and Yan Zhang "Investigation of potential 5G RF interference with C-band radar operations and mitigation solutions", Proc. SPIE 12535, Radar Sensor Technology XXVII, 125350R (14 June 2023); https://doi.org/10.1117/12.2663427

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