Radio-Heat Contrasts of UAVs and Their Weather Variability at 12 GHz, 20 GHz, 34 GHz, and 94 GHz Frequencies

Autor: Nikolay Ruzhentsev, Simeon Zhyla, Vladimir Pavlikov, Valerii Volosyuk, Eduard Tserne, Anatoliy Popov, Oleksandr Shmatko, Ivan Ostroumov, Nataliia Kuzmenko, Kostiantyn Dergachov, Olga Sushchenko, Yuliya Averyanova, Maksym Zaliskyi, Oleksandr Solomentsev, Olena Havrylenko, Borys Kuznetsov, Tatyana Nikitina
Rok vydání: 2022
Předmět:
Zdroj: ECTI Transactions on Electrical Engineering, Electronics, and Communications. 20:163-173
ISSN: 1685-9545
Popis: This work describes the procedure for determining the expected values of UAV radio-heat contrasts () and discusses its angular dependences, as well as the estimation of UAV detection distances at four points cm and mm ranges (12 GHz, 20 GHz, 34 GHz, and 94 GHz). This paper reveals the pronounced frequency dependence on brightness temperature () and of a fiberglass unmanned aerial vehicle (UAV) made from composite fiberglass materials. The quantified experiments are conducted against a sky background under various weather conditions and wave ranges. The qualitative physical interpretation of these properties and their frequency dependence is proposed, reflecting the coefficient values and radio brightness of the background. The weak influence of weather on the observed UAVs in the X and Ku bands are demonstrated along with the multiple decreasing detection characteristics and advantages of the W band under bad weather conditions (the appearance of rain or thick cloud). This work presents data on the values of UAV contrasts, observed against the background of the sky and the regularities noted could be useful for predicting the effectiveness of the proposed radiometric detection and tracking system.
Databáze: OpenAIRE