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.

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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
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article

Assessing MIMO and Beamforming for Low RCS UAV Detection via Radar Digital Twins

George Shaker, Ahmed N. Sayed, Neda Rojhani
1 citations
Advanced SAR Imaging Techniques
1.30
article

Assessing MIMO and Beamforming for Low RCS UAV Detection via Radar Digital Twins

George Shaker, Ahmed N. Sayed, Neda Rojhani
article en
1 citations

Abstract

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.

University of Waterloo (CA)
Affordable and clean energy
Openalex Percentile: Top 11%
Advanced SAR Imaging Techniques
1.30
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