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IEEE/ICACT20230246 Slide.03        [Big Slide]       [YouTube]	Oral Presentation
	First of all, let me briefly introduce the work of this paper. The orthogonal time-frequency space (OTFS) technique can convert the double dispersive channel in the time frequency (TF) domain into a time-invariant channel in the delayed-Doppler (DD) domain through a series of two dimensional transformations. As a key part in OTFS system, conventional pilot-based channel estimation schemes have obvious drawbacks, such as low accuracy and poor robustness to mobility. In this paper, we propose a denoising convolutional neural network (DCNN) based channel estimation scheme in OTFS system, by introducing hybrid dilated convolution (HDC) and residual paths into convolutional neural network (CNN).

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