A novel method for reducing the effect of doppler frequency shift in high-speed railway mobile communication using machine learning
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This paper presents a novel for Doppler frequency compensation in highspeed railway communication based on the results of estimating the trains velocity using machine learning algorithms. By leveraging advanced algorithm such as neural networks, our method dynamically predicts and compensates for Doppler shifts in real-time.
Nội dung trích xuất từ tài liệu:
A novel method for reducing the effect of doppler frequency shift in high-speed railway mobile communication using machine learning
Nội dung trích xuất từ tài liệu:
A novel method for reducing the effect of doppler frequency shift in high-speed railway mobile communication using machine learning
Tìm kiếm theo từ khóa liên quan:
Transport and Communications Science Journal Doppler compensation High speed railway Carrier frequency offset Machine learning Deep learningGợi ý tài liệu liên quan:
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