Browsing by Author "Bennett, Cameron"

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    Radar discrimination of small airborne targets through kinematic features and machine learning
    (IEEE, 2022-10-31) Doumard, Timothée; Gañán Riesco, Fabio; Petrunin, Ivan; Panagiotakopoulos, Dimitrios; Bennett, Cameron; Harman, Stephen
    This work studies binary classification problem for small airborne targets (drones vs other) by means of their trajectory analysis. For this purpose a set of the kinematic features extracted from drone trajectories using radar detections with a classification scheme that utilises Random Forests is proposed. The development is based on experimental data acquired from the Holographic radar from Aveillant Ltd. An approach for real-time classification is proposed, where an adaptive sliding window procedure is employed to make predictions over time from trajectories. Several models utilising different kinematic features (angle, slope, velocity, and their combination) are studied. The best model achieves an accuracy of more than 95%. In addition, fundamental issues with imbalanced datasets in the context of this topic are raised and illustrated using the collected data.
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    Realistic simulation of drone micro-Doppler signatures
    (IEEE, 2022-06-02) Bennett, Cameron; Harman, Stephen; Petrunin, Ivan
    This paper presents a novel approach to simulating micro-Doppler signatures caused by drones. The focus of this work is to produce realistic signatures that represent the variation that is observed in live radar measurements. In order to accomplish this, the kinematics and dynamics of a drone flight are modelled to capture the changing rotor rotation rates. The simulation results show realistic variation that is representative of measured drone flights.