Researchers and engineers have increasingly used Deep Learning (DL) for a variety of
Remote Sensing (RS) tasks. However, data from local observations or via ground truth is …

Transfer learning has proven to be a valuable technique for deploying machine learning
models on edge devices and embedded systems. By leveraging pre-trained models and fine …

Accurately recognizing the type of complex electromagnetic jamming is the essential
prerequisite for synthetic aperture radar (SAR) anti-jamming. However, current convolutional …

Compared to the distributed ground-based radar (DGBR), the distributed airborne radar
(DAR) has been widely applied due to its stronger anti-damage ability, more degrees of …

This article proposes a novel method for calculating radar cross-sections (RCSs) that
combines the spectral element method and the integral method, allowing for RCS …

The precise classification of jamming signals holds paramount significance in the effective
implementation of anti-jamming strategies within communication systems subject to intricate …

Micro-motion jamming is a new jamming method to inverse synthetic aperture radar (ISAR)
in recent years. Compared with traditional jamming methods, it is more flexible and …

Wireless spectrum anomaly detection aims to identify anomaly signals in the environment
and spectrum usage behavior, holding significant implications for spectrum regulation. Due …

With the rapid development of modern electronic warfare, new jamming based on digital
radio frequency memory forwarding emerge in an endless stream. In order to solve the …