Cone-Shaped Space Target Inertia Characteristics Identification by Deep Learning With Compressed Dataset
An effective method for identifying inertia characteristics of cone-shaped space target based on deep learning is proposed. The inertia ratio is determined by the time-varying scattering fields from the cone-shaped targets. The multistatic method is introduced to reduce the evaluation time of time-v...
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Veröffentlicht in: | IEEE transactions on antennas and propagation 2022-07, Vol.70 (7), p.5217-5226 |
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