Jamming is a big threat to the survival of a radar system. Therefore, the recognition of radar
jamming signal type is a part of radar countermeasure. Recently, convolutional neural …

Efficient jamming recognition capability is a prerequisite for radar anti-jamming and can
enhance the survivability of radar in electronic warfare. Traditional recognition methods …

The accurate classification of radar jamming signal is a core step of anti-jamming. Recently,
convolutional neural network (CNN) based methods have shown their powerfulness in …

Jamming is a big threat to radar system survival and anti-jamming is a part of the solution.
The classification of radar jamming signal is the first step toward to anti-jamming. Recently …

With the development of new active deception jamming, radar antijamming has become a
major research hotspot, and the recognition of jamming type is one of its key steps. In recent …

Radar jamming recognition aims to accurately recognize the type of jamming to provide
guidance for radar countermeasures. Although previous deep learning-based methods have …

The expert feature based radar jamming recognition methods are widely used today,
however the appropriate features are hard to find and its generalization ability is not good …

As electromagnetic environments in battlefields are more and more complex, there are more
kinds of suppression jamming noise including both single jamming signals and compound …

In recent years, there has been significant research focused on identifying jamming signals
using neural networks to improve identification accuracy. However, traditional networks …

The modern electromagnetic environment is becoming more and more complicated, and
during detection, radar may face not only single jamming but also compound jamming …