Multi-Stage Learning for Radar Pulse Activity Segmentation

[PDF] arxiv.org

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 …
相关文章
[PDF] arxiv.org

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 …
相关文章
[PDF] arxiv.org

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 …
被引用次数：2 相关文章 所有 2 个版本

Dual-stream CNN+ LSTM model based on attention mechanism

J Chen, H Zhang, S Wang - Third International Conference on …, 2024 - spiedigitallibrary.org
Automatic Modulation Recognition (AMC) emerges as a pivotal innovation in non-
cooperative communication systems, evolving rapidly alongside breakthroughs in deep …
相关文章 所有 3 个版本