Envisioned future wireless gives rise to the possibility of exploiting underwater applications
with high spectral efficiency and reliable communication. This paper presents a method to …

The performance of the underwater acoustic (UWA) orthogonal frequency division
multiplexing (OFDM) system is often restrained by time-varying channels with large delays …

It is challenging to design an equalizer for the complex time-frequency doubly-selective
channel. In this paper, we employ the deep unfolding approach to establish an equalizer for …

We consider orthogonal frequency division multiplexing over rapidly time-varying multipath
channels, for which performance of standard channel estimation and equalization …

In this paper, a data augmentation aided complex-valued network is proposed for
underwater acoustic (UWA) orthogonal frequency division multiplexing (OFDM) channel …

Deep learning (DL) has exhibited notable effectiveness in channel estimation for orthogonal
frequency division multiplexing (OFDM) systems. However, most existing neural networks …

Abstract The Underwater Acoustic (UWA) channel is bandwidth-constrained and
experiences doubly selective fading. It is challenging to acquire perfect channel knowledge …

In recent years, the study of deep learning techniques for underwater acoustic channel
estimation has gained widespread attention. However, existing neural network channel …

In this work, a complex-valued deep neural network (ℂ-DNN) aided channel tracking
approach is proposed for underwater acoustic (UWA) orthogonal frequency division …

Developing a reliable and robust underwater acoustic communication system is a difficult
task due to the complicated nature of the underwater channel, non‐stationary noise, and …