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
Hauptverfasser: Wang, Shaoran, Li, Mengmeng, Yang, Tian, Ai, Xia, Liu, Jiaqi, Andriulli, Francesco P., Ding, Dazhi
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Sprache:eng
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