Assessing MIMO and Beamforming for Low RCS UAV Detection via Radar Digital Twins
Detecting low Radar Cross Section (RCS) targets like UAVs demands advanced radar technologies with high resolution and sensitivity. This study evaluates Beamforming and MIMO radar technologies for their effectiveness in detecting low RCS targets, emphasizing range, angular resolution, and Doppler sensitivity. By integrating Digital Twins, the study bridges simulation and real-world environments, showing that Beamforming enhances detection in noisy conditions by optimizing SNR. Meanwhile, MIMO performs better in range resolution and Doppler sensitivity. The strong match between Digital Twins and real-world tests confirms their accuracy and importance.
Authors
- George Shaker (ORCID: https://orcid.org/0000-0002-1450-2138)
- Ahmed N. Sayed (ORCID: https://orcid.org/0000-0003-3821-0487)
- Neda Rojhani (ORCID: https://orcid.org/0000-0002-4948-6270)
Institutions
- University of Waterloo (CA)
Publication Details
- Published
- 2024-12-01
- DOI
- https://doi.org/10.1109/lacap63752.2024.10876316
- Citations
- 1
- Primary Topic
- Advanced SAR Imaging Techniques
- Type
- article
- Field-Weighted Citation Impact
- 1.30