Multi-Stage Learning for Radar Pulse Activity Segmentation

Z Huang, A Pemasiri, S Denman… - ICASSP 2024-2024 …, 2024 - ieeexplore.ieee.org
Radio signal recognition is a crucial function in electronic warfare. Precise identification and
localisation of radar pulse activities are required by electronic warfare systems to produce …

M2-Net: Multi-Task Learning-Based Multi-Band Signal Recognition Network

X Zhang, P Wang, Y Ma, J Jiao, S Wu… - IEEE Internet of Things …, 2025 - ieeexplore.ieee.org
Traditional signal recognition requires the design of multiple different deep neural networks
to handle different signal recognition tasks, which not only fails to take into account the …

Radar Signal Recognition Based on Multi-task Learning

H Li, D Quan, F Zhou, F Ren, K Yu, N Jin, J Wu - IEEE Access, 2024 - ieeexplore.ieee.org
Radar signal recognition is an important topic in electronic countermeasures. However, with
the growing complexity of the electromagnetic environment, accurately identifying radar …

Radar Signal Recognition through Self-Supervised Learning and Domain Adaptation

Z Huang, A Pemasiri, S Denman, C Fookes… - arXiv preprint arXiv …, 2025 - arxiv.org
Automatic radar signal recognition (RSR) plays a pivotal role in electronic warfare (EW), as
accurately classifying radar signals is critical for informing decision-making processes …

RadDet: A Wideband Dataset for Real-Time Radar Spectrum Detection

Z Huang, S Denman, A Pemasiri, T Martin… - arXiv preprint arXiv …, 2025 - arxiv.org
Real-time detection of radar signals in a wideband radio frequency spectrum is a critical
situational assessment function in electronic warfare. Compute-efficient detection models …

Automatic Radar Signal Detection and FFT Estimation using Deep Learning

A Pemasiri, Z Huang, F Williams, E Goan… - arXiv preprint arXiv …, 2024 - arxiv.org
This paper addresses a critical preliminary step in radar signal processing: detecting the
presence of a radar signal and robustly estimating its bandwidth. Existing methods which …

Modulation Signal Recognition of Small Sample Radar Based on Attention Mechanism Prototype Network

H Wang, Z Guo, Y Li - 2024 3rd International Symposium on …, 2024 - ieeexplore.ieee.org
In the modern battlefield environment, the signals of new radar systems are often short of
enough samples to train deep learning models. At the same time, hostile parties may use …