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12 September 2021 Towards cognitive IRST
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Abstract
Cognitive radar systems adapt processing, receiver and transmitted waveform parameters by continuously learning and interacting with the operative environment. IRST systems are passive; as such no RF emission is involved. Nevertheless, the cognitive paradigm can be applied to passive sensors in order to optimize operational modes choice, platform and processing parameters on the fly. A cognitive based IRST, while enhancing the overall performance of the system, would also reduce the crew workload during the mission. In this paper, steps and challenge toward cognitive IRST are described, along with a proof-of-concept example of improved tracking capabilities using reinforcement learning methods.
Conference Presentation
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
R. Conte, F. Castaldo, A. Leoni, F. Stellino, A. Andreoni, and L. Fortunato "Towards cognitive IRST", Proc. SPIE 11866, Electro-Optical and Infrared Systems: Technology and Applications XVIII and Electro-Optical Remote Sensing XV, 118660I (12 September 2021); https://doi.org/10.1117/12.2600250
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KEYWORDS
Infrared search and track

Radar

Target detection

Computing systems

Sensors

Cognitive modeling

Computer programming

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