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A Comparison of Machine Learning Algorithms for Micro-Doppl..:
, In:
2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (USNC-URSI)
,
Rashid, Mohammed
;
Nanzer, Jeffrey A.
- p. 01-02 , 2023
Link:
https://doi.org/10.1109/USNC-URSI52151.2023.10237988
RT T1 <cTitle>2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (USNC-URSI)</cTitle>: T1 <Title>A Comparison of Machine Learning Algorithms for Micro-Doppler Based Drone Classification</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10237988&Exemplar=1&LAN=DE A1 Rashid, Mohammed A1 Nanzer, Jeffrey A. YR 2023 SN 1947-1491 K1 Training K1 Machine learning algorithms K1 Rotors K1 Kinematics K1 Radar scattering K1 Feature extraction K1 Classification algorithms K1 micro-Doppler signatures K1 drones classification K1 principal component analysis K1 machine learning algorithms SP 01 OP 02 LK http://dx.doi.org/https://doi.org/10.1109/USNC-URSI52151.2023.10237988 DO https://doi.org/10.1109/USNC-URSI52151.2023.10237988 SF ELIB - SuUB Bremen
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