Details

Autor(en) / Beteiligte

• Rockbach, Jonas D.
• Bluhm, Luka-Franziska
• Schlangen, Isabel
• Over, Laura
• Apfeld, Sabine
• Henneke, Lukas
• Wilkinghoff, Kevin

Titel

Towards Human-Machine Integration for Signals Intelligence Applications

Ist Teil von

• 2022 Sensor Data Fusion: Trends, Solutions, Applications (SDF), 2022, p.1-6

Ort / Verlag

IEEE

Erscheinungsjahr

2022

Quelle

IEEE Electronic Library (IEL)

Beschreibungen/Notizen

• Recent advancements in radar technology and telecommunications have led to a high population of increasingly complex emitters in the electromagnetic spectrum. From the perspective of a signals intelligence (SIGINT) operator, assessing the general situation comes with several major challenges, e.g. the detection and extraction of signals of interest, the elimination of unwanted interferences, or the meaningful representation of increasingly complex modulation patterns. This paper provides a general overview of the challenges of SIGINT and suggests possible ways to support operators with automated signal processing.