A channel estimation method based on transformer for OTFS system

Jiebiao Lv; Tao Zhou; Teng Sun; Liu Liu

doi:10.1117/12.3022883

28 March 2024 A channel estimation method based on transformer for OTFS system

Jiebiao Lv, Tao Zhou, Teng Sun, Liu Liu

Author Affiliations +

Proceedings Volume 13091, Fifteenth International Conference on Signal Processing Systems (ICSPS 2023); 1309120 (2024) https://doi.org/10.1117/12.3022883
Event: Fifteenth International Conference on Signal Processing Systems (ICSPS 2023), 2023, Xi’an, China

Abstract

Orthogonal time-frequency space (OTFS) is a novel modulation scheme that enables reliable communication in high-mobility environments. In this paper, we propose a Transformer-based channel estimation method for OTFS systems. Initially, the threshold method is utilized to obtain preliminary channel estimation results. To further enhance the channel estimation, we leverage the inherent temporal correlation between channels and a new method of channel response prediction is performed. Based on this, Transformer neural network is applied to our work, which is specialized in processing time series, to refine the preliminary results. Simulation results demonstrate that the performance of the proposed scheme in terms of normalized mean squared error (NMSE) and bit error rate (BER) is better than the threshold method and other deep learning (DL) methods.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Jiebiao Lv, Tao Zhou, Teng Sun, and Liu Liu "A channel estimation method based on transformer for OTFS system", Proc. SPIE 13091, Fifteenth International Conference on Signal Processing Systems (ICSPS 2023), 1309120 (28 March 2024); https://doi.org/10.1117/12.3022883

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