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Joint Fine Time Synchronization and Channel Estimation Using Deep Learning for Wireless Communication Systems | IEEE Conference Publication | IEEE Xplore

Joint Fine Time Synchronization and Channel Estimation Using Deep Learning for Wireless Communication Systems


Abstract:

This paper presents a joint fine time synchronization and channel estimation scheme based on deep learning (DL) for wireless communication systems. The scheme adopts a sp...Show More

Abstract:

This paper presents a joint fine time synchronization and channel estimation scheme based on deep learning (DL) for wireless communication systems. The scheme adopts a specific training sequence structure with both cyclic prefixing and cyclic postfixing. It works excellently without setting a search range and a threshold as required by the conventional method based on the same training sequence structure. Simulation results demonstrate that the proposed DL-based scheme has significant performance gains for most cases as compared with the conventional method. With improved time synchronization, better channel estimation performance is achieved accordingly.
Date of Conference: 19-22 June 2022
Date Added to IEEE Xplore: 25 August 2022
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Conference Location: Helsinki, Finland

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