Simulation of Radar Operation Scenarios for Classifying Unmanned Aerial Vehicles and Birds Based on Microdoppler Signatures in the Engee Environment
https://doi.org/10.26907/1562-5419-2025-28-4-943-952
Abstract
The paper considers a method for classifying unmanned aerial vehicles (UAVs) and birds based on radar measurements in various object movement scenarios. The relevance of the problem is explained by the complexity of UAV detection due to its small overall dimensions, high agility, and similar geometry to a bird. To solve the problem, a classification method based on the analysis of micro-Doppler signatures, which reflect the dynamics of object motion, is applied. The scenarios are modelled in the Engee environment, where models of radar system, UAV and birds are developed.
About the Authors
Alexey Evgenievich Semichastnov
ETMC EXPONENTA LTD
Russian Federation
Russian Federation
Dmitry Alexandrovich Balakin
ETMC EXPONENTA LTD
Russian Federation
Russian Federation
References
1. Dmitriev V.I., Zvonarev V.V., Lisitsyn Yu.E. Methodology for substantiating rational methods of unmanned aerial vehicle control // Proceedings of MAI. 2020. No. 112. 20 p. https://doi.org/10.34759/trd-2020-112-16
2. Kartashov V.M. Methods for detecting and recognising radar, acoustic, optical and infrared signals from unmanned aerial vehicles // Radio Engineering. 2021. No. 2 (205). P. 138–153. https://doi.org/10.30837/RT.2021.2.205.15
3. Park S., Shin S., Kim Y., Matson E.T. Combination of Radar and Audio Sensors for Identification of Rotor-type Unmanned Aerial Vehicles // (UAVs). 2015. P. 1–4. https://doi.org/10.1109/ICSENS.2015.7370533
4. Russian dynamic modeling environment Engee // Engee user account. URL: https://start.engee.com (accessed: 30.05.2025).
5. Richards M.A., Scheer J.A., Holm W.A. Principles of Modern Radar Vol. 1. Basic Principles, 2010. 960 p.
6. Сhen V.C. The Micro-Doppler Effect in Radar. Artech House, 2011. 290 p.
Review
For citations:
Semichastnov A.E., Balakin D.A. Simulation of Radar Operation Scenarios for Classifying Unmanned Aerial Vehicles and Birds Based on Microdoppler Signatures in the Engee Environment. Russian Digital Libraries Journal. 2025;28(4):943-952. (In Russ.) https://doi.org/10.26907/1562-5419-2025-28-4-943-952
Views:
30
JATS XML
Email this article 