NIST - National Institute of Standards and Technology

07/09/2025 | Press release | Distributed by Public on 07/10/2025 03:20

DETECTION AND CHARACTERIZATION OF DRONES IN URBAN ENVIRONMENT WITH SYNTHETIC APERTURE RADAR IMAGES

Published
July 9, 2025

Author(s)

Jack Chuang, Chiehping Lai, David Griffith

Abstract

The objective of this paper is to study the radar imaging of a commercial drone (DJI Phantom III) in an artificial urban environment. A 10-GHz frequency modulated continuous wave (FMCW) synthetic aperture radar (SAR) imaging system with a 1.5-GHz bandwidth was used inside an electromagnetic anechoic chamber to generate SAR images for target detection and characterization. Combinations of two ranges, two cross-ranges, and five altitude angles were considered in our laboratory SAR imaging. A brick wall was constructed inside the anechoic chamber and behind the drone to simulate the scenario of a drone flying very close to building structures in urban environment. From the initial SAR imaging and simulation results, we found that SAR imaging can be used to detect and distinguish different orientations of the drone in an artificial urban environment
Proceedings Title
IEEE CCSI
Conference Dates
May 20-23, 2024
Conference Location
Boulder, CO, US
Conference Title
NIST/IEEE Conference Computational Imaging Using Synthetic Apertures (CISA)
Pub Type
Conferences

Download Paper

Local Download

Keywords

Drones, SAR imaging, urban environment, simulation
Advanced communications

Citation

Chuang, J. , Lai, C. and Griffith, D. (2025), DETECTION AND CHARACTERIZATION OF DRONES IN URBAN ENVIRONMENT WITH SYNTHETIC APERTURE RADAR IMAGES, IEEE CCSI, Boulder, CO, US, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=957890 (Accessed July 10, 2025)

Additional citation formats

  • Google Scholar
  • BibTeX
  • RIS

Issues

If you have any questions about this publication or are having problems accessing it, please contact [email protected].

NIST - National Institute of Standards and Technology published this content on July 09, 2025, and is solely responsible for the information contained herein. Distributed via Public Technologies (PUBT), unedited and unaltered, on July 10, 2025 at 09:20 UTC. If you believe the information included in the content is inaccurate or outdated and requires editing or removal, please contact us at support@pubt.io