Image segmentation for radar signal deinterleaving using deep learning
MA Nuhoglu, YK Alp, MEC Ulusoy… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Passive systems, such as electronic intelligence and electronic support measures systems,
aim to extract necessary information from the received radar signals for situational …
aim to extract necessary information from the received radar signals for situational …
JMRPE‐Net: Joint modulation recognition and parameter estimation of cognitive radar signals with a deep multitask network
The newly developed cognitive radar (CR) can implement flexible work modes defined with
a set of mode definition parameters. Each definition parameter can employ its modulation …
a set of mode definition parameters. Each definition parameter can employ its modulation …
Performance Evaluation of FPGA-Based LSTM Neural Networks for Pulse Signal Detection on Real-Time Radar Warning Receivers
EB Tekincan, T Erçelebi Ayyıldız… - The Computer …, 2023 - academic.oup.com
Radar warning receivers are real-time systems used to detect emitted signals by the enemy
targets. The conventional method of detecting the signal is to determine the noise floor and …
targets. The conventional method of detecting the signal is to determine the noise floor and …
Deep Learning in Electronic Warfare Systems: Automatic Pulse Detection and Intra-Pulse Modulation Recognition
FC Akyon - 2020 - search.proquest.com
Detection and classification of radar systems based on modulation analysis on pulses they
transmit is an important application in electronic warfare systems. Many of the present works …
transmit is an important application in electronic warfare systems. Many of the present works …