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Updated: Jun 4, 2025

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基于CNN-BiLSTM-注意干扰检测和位置的COSMIC-2 RFI预测模型

Cheng-Long Song1,2, Rui-Min Jin2,3, Chao Han1

  • 1School of Electronic Information Engineering, Shandong University of Science and Technology, Qingdao 266590, China.

Sensors (Basel, Switzerland)
|December 17, 2024
PubMed
概括

本研究引入了一种使用COSMIC-2数据的新型深度学习模型,用于预测全球导航卫星系统 (GNSS) 信号中的射频干扰 (RFI). 该模型通过分析信号噪声比 (SNR) 相对关系来准确检测干扰,从而提高了GNSS的稳定性.

关键词:
美国有线电视新闻网-BiLSTM-注意这就是COSMIC-2的特点.在GNSS RO中使用GNSS RO.无线电频率干扰GNSS的干扰深度学习是一种深度学习.

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