A lightweight conditional mean-field network for predicting azimuth-range acoustic transmission loss in dynamic ocean environmentsa).
Prediction of underwater acoustic transmission loss (TL) is critical for sonar performance evaluation. Traditional physical models entail high computational costs, while existing data-driven methods are mostly limited to static fixed environments and cannot adapt to the spatiotemporal dynamics of the real marine enviro...