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 …

The emergence of active jamming technology has led to a surge of interest in jamming
suppression. This work proposes a one-dimensional adaptive multi-scale residual …

In this paper, we address the challenge of low recognition rates in existing methods for radar
signals from unmanned aerial vehicles (UAV) with low signal-to-noise ratios (SNRs). To …

In order to achieve precise operations on specified targets from the unmanned aerial
vehicles (UAVs), classifying ground targets correctly is especially important. Micro-Doppler …

In modern wars, the unmanned aerial vehicles (UAVs) have become the main means of
local high-precision strike. The ground tracked vehicle and the ground wheeled vehicle are …

Wireless interference identification (WII) is one of the most promising technologies in anti-
interference communication systems and non-cooperative communication systems …

In the field of military communications, electromagnetic interference has posed a serious
threat to wireless communication systems, and wireless interference recognition (WIR) is …

Wireless interference recognition (WIR) is one of the most indispensable technologies in
non-cooperative communication systems. Recently, compared with convolutional networks …

Various types of interference signals limit the practical application of transform domain
communication systems (TDCSs) in the severe electromagnetic field, an orthogonal basis …

For millimeter wave (mmWave) MIMO system, the capacity can be largely improved using
beamforming technology if the system can detect the interference signal and its location …