"Modeling of Correlated Complex Sea Clutter Using Unsupervised Phase Re" by Liwu Wen, Jinshan Ding et al.
Abstract The spatially and temporally correlated sea clutter with phase information is valuable for marine radar applications. The major difficulty of coherent sea clutter modeling is the generation of the continuous phases. This article presents a new phase retrieval approach for modeling the correlated complex sea clutter based on unsupervised neural networks. The unsupervised short-term and long-term neural networks have been developed for the phase retrieval on different term scales. Both these networks have the same input layer and feature extraction module, and however, the number of ou...
Source: uow.edu.au