Deep Residual Learning-Assisted Channel Estimation in Ambient Backscatter Communications

IEEE Wirel. Commun. Lett., pp. 339-343, 2021.

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Abstract:

Channel estimation is a challenging problem for realizing efficient ambient backscatter communication (AmBC) systems. In this letter, channel estimation in AmBC is modeled as a denoising problem and a convolutional neural network-based deep residual learning denoiser (CRLD) is developed to directly recover the channel coefficients from ...More

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