The modern battlefield is getting more complicated due to the increasing number of different
radiation sources as well as their fierce contention (interference) and confrontations …

Deep neural networks are used as effective methods for the Low Probability of Intercept
(LPI) radar waveform recognition. However, existing models' performance degrades …

Recently, due to the wide application of low probability of intercept (LPI) radar, lots of
recognition approaches about LPI radar signal modulations have been proposed. However …

Low Probability of intercept (LPI) radars work on the principle of low peak-power and wide
bandwidth. To achieve this, the LPI radars use special type of modulated waveforms which …

Abstract Nyquist Folding Receiver (NYFR) is a perceptron structure that realizes a low
probability of intercept (LPI) signal analog to information. Aiming at the problem of LPI radar …

The issue of the low probability of intercept (LPI) radar signal sensing has received
considerable attention. Furthermore, the development of military technology further …

Automatic radar modulation recognition plays a significant role in both civilian and military
applications. With the rapid development of deep learning, convolutional neural networks …

The integration of radar and communication systems in 6G networks has led to a significant
challenge of spectrum congestion. To address this issue, we propose a deep learning …

The recognition technology of the radar signal modulation mode plays a critical role in
electronic warfare, and the algorithm based on deep learning has significantly improved the …

The new classes of radar signals are increasingly difficult to acquire under non-cooperative
environments, which makes it difficult to support convolutional neural network training with …