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Surveillance Systems

Undertakes research to develop and demonstrate resilient surveillance system capabilities to enhance current and future ADF operational systems that enable Defence to prevail in contested environments. The MSTC comprises technology areas including active and passive radar, imaging radar, electro-optical (EO) sensing and hyperspectral imaging systems. It conducts research and development in exemplar sensor technologies and systems, processing and interpretation of sensor data, system analysis and evaluation, signature measurement, and the protection of surveillance systems from interference and jamming.

Resilient Radar Systems STC

Conducts research to develop and demonstrate advanced radar technologies and systems, including Active Electronically Scanned Array (AESA) radar, passive radar, multi-static and multi-function RF capabilities. This STC conceives, develops and demonstrates innovative algorithms and data processing techniques to detect and track targets in complex and contested environments, with a focus on protecting radar systems from jamming and deception.

Resilient Imaging Systems STC

Develops and demonstrates leading-edge imaging technologies and systems, including imaging radar, electro-optical sensors and hyperspectral imaging systems. This STC conceives, develops and demonstrates advanced sensor data processing techniques to detect and characterize objects of interest for intelligence exploitation in complex and contested environments, including research into the phenomenology and the protection of imaging systems.

Sensor System Analysis STC

Supports and protects the force-in-being and provides technical advice on RF sensor systems in acquisition by undertaking sensor system modelling, analysis, test and evaluation. The research and development within this STC covers RF technical intelligence (TECHINT) related to sensor systems in the SS MSTC as well as non-cooperative target recognition (NCTR) and measurement and signature intelligence (MASINT) including the RF signatures of platforms.