18 citations · 19 across the 5 of their papers we have counts for
5 papers
RadDet: A Wideband Dataset for Real-Time Radar Spectrum Detection
Zi Huang, Simon Denman, Akila Pemasiri +2
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…
Few-Shot Radar Signal Recognition through Self-Supervised Learning and Radio Frequency Domain Adaptation
Zi Huang, Simon Denman, Akila Pemasiri +2
Radar signal recognition (RSR) plays a pivotal role in electronic warfare (EW), as accurately classifying radar signals is critical for informing decision-making. Recent advances i…
Automatic Radar Signal Detection and FFT Estimation using Deep Learning
Akila Pemasiri, Zi Huang, Fraser Williams +4
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…
Multi-stage Learning for Radar Pulse Activity Segmentation
Zi Huang, Akila Pemasiri, Simon Denman +2
Radio signal recognition is a crucial function in electronic warfare. Precise identification and localisation of radar pulse activities are required by electronic warfare systems t…
Multi-task Learning for Radar Signal Characterisation
Zi Huang, Akila Pemasiri, Simon Denman +2
Radio signal recognition is a crucial task in both civilian and military applications, as accurate and timely identification of unknown signals is an essential part of spectrum man…