Blind Estimation of a Doubly Selective OFDM Channel: A Deep Learning Algorithm and Theory. (arXiv:2206.07483v1 [eess.SP])

Web: http://arxiv.org/abs/2206.07483

We provide a new generation solution to the fundamental old problem of a
doubly selective fading channel estimation for orthogonal frequency division
multiplexing (OFDM) systems. For systems based on OFDM, we propose a deep
learning (DL)-based blind doubly selective channel estimator. This estimator
does require no pilot symbols, unlike the corresponding state-of-the-art
estimators, even during the estimation of a deep fading doubly selective
channel. We also provide the first of its kind theory on the testing mean
squared error (MSE) …

algorithm arxiv deep deep learning learning theory