Rotation rate estimation of dual propellers drones with opposite direction using a multistatic radar

Accurate estimation of propellers rotation rate is crucial for effective radar classification of drones and provides valuable information into their capabilities. This paper presents two techniques for estimating the rotation direction and rate of two propellers rotating in opposite directions using observations respectively from two and three slightly displaced observation angles. First, leveraging angular diversity, we devise a cancellation technique to suppress the contribution of a single rotating propeller with known period. Then, we employ the derived cancellation technique for estimating the rotation rates and directions of the opposite propellers. The proposed techniques are validated against both synthetic and experimental data, demonstrating promising prospects for the development of drone classification systems.

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Publication Details

Published
2024-10-21
DOI
https://doi.org/10.1109/radar58436.2024.10994095
Citations
2
Primary Topic
Guidance and Control Systems
Type
article
Field-Weighted Citation Impact
2.60
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article

Rotation rate estimation of dual propellers drones with opposite direction using a multistatic radar

Carlo Bongioanni, P. Lombardo, Andrea Quirini, Maryam AninNasrabadi
2 citations
Guidance and Control Systems
2.60
article

Rotation rate estimation of dual propellers drones with opposite direction using a multistatic radar

Carlo Bongioanni, P. Lombardo, Andrea Quirini, Maryam AninNasrabadi
article en
2 citations

Abstract

Accurate estimation of propellers rotation rate is crucial for effective radar classification of drones and provides valuable information into their capabilities. This paper presents two techniques for estimating the rotation direction and rate of two propellers rotating in opposite directions using observations respectively from two and three slightly displaced observation angles. First, leveraging angular diversity, we devise a cancellation technique to suppress the contribution of a single rotating propeller with known period. Then, we employ the derived cancellation technique for estimating the rotation rates and directions of the opposite propellers. The proposed techniques are validated against both synthetic and experimental data, demonstrating promising prospects for the development of drone classification systems.

Sapienza University of Rome (IT)
Affordable and clean energy
Openalex Percentile: Top 7%
Guidance and Control Systems
2.60
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