Multi-task Learning for Radar Signal Characterisation

arXiv:2306.13105v2 Announce Type: replace-cross
Abstract: 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 management and electronic warfare. The majority of research in this field has focused on applying deep learning for modulation classification, leaving the task of signal characterisation as an understudied area. This paper addresses this gap by presenting an approach for tackling radar signal classification and characterisation as a …

abstract applications arxiv classification cs.lg deep learning eess.sp electronic identification management military multi-task learning part radar radio recognition research signal spectrum type warfare