The increasingly complex radio environment may cause the received low probability of
intercept (LPI) radar signals to overlap in time–frequency domains. Analyzing overlapping …

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 …

The recognition and estimation of frequency-modulated continuous-wave (FMCW) radar
signals are critical for both military electronic countermeasures and civilian autonomous …

Ultra-wideband (UWB) radio technique, due to its potential applications and great detection
ability, is vulnerable to electromagnetic interference that cannot be ignored. With the …

Signal recognition technology is a currently active area in both civilian and military
applications. Recently, deep learning has aroused extensive attempts in radar signal …

Intra-pulse modulation recognition of radar signals plays an important role in the field of
electronic warfare. In this paper, a multi-feature random matching fusion (MFRMF) network is …

Automatic modulation classification (AMC) plays an essential and fundamental part in
wireless communication systems, which can greatly enhance the efficiency of spectrum …

Carrier-free ultra-wideband impulse radars are increasingly used in target detection due to
their high resolution and strong interference capabilities. This letter designs a deep residual …

Modulation recognition of single‐component radar signals has been widely studied in the
fewer years. Meanwhile, as the electromagnetic environment in the actual battlefields is ever …