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Design of Electromagnetic Alarm System for Multi-radar Ship Platform Based on Deep Learning

  • Xinlong Tao,
  • Tianyi Xiong,
  • Wei Zhong

摘要

The multi-radar ship platform is equipped with various types of radars and many other electronic sensors, which leads to a great risk of electromagnetic conflicts during the working process. Aiming at the electromagnetic alarm problem in the case of electromagnetic conflicts between radars, this paper designs an electromagnetic alarm system based on deep learning for multi-radar ship platform. Firstly, the system structure of the electromagnetic alarm system for the multi-radar ship platform is designed. Then, for the deep neural networks used in the system, the network structure and the training algorithm are designed in detail. Finally, numerical simulations are carried out to verify the feasibility and correctness of the designed system.