[en] We introduce a metacognitive approach to optimize the radar performance for a dynamic wireless channel. Similar to the origin of the cognitive radar in the neurobiological concept of cognition, metacognition also originates from neurobiological research on problem-solving and learning. Broadly defined as the process of learning to learn, metacognition improves the application of knowledge in domains beyond the immediate context in which it was learned. We describe basic features of a metacognitive radar and then illustrate its application with some examples such as antenna selection and resource sharing between radar and communications. Unlike previous works in communications that only focus on combining several existing algorithms to form a metacognitive radio, we also show the transfer of knowledge in a metacognitive radar. A metacognitive radar improves performance over individual cognitive radar algorithms, especially when both the channel and transmit/receive hardware are changed.
Disciplines :
Sciences informatiques
Auteur, co-auteur :
Mishra, K. V.
Shankar, M. R. B.
OTTERSTEN, Björn ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Co-auteurs externes :
yes
Langue du document :
Anglais
Titre :
Toward Metacognitive Radars: Concept and Applications
Date de publication/diffusion :
11 juin 2020
Nom de la manifestation :
Toward Metacognitive Radars: Concept and Applications
Lieu de la manifestation :
Washington, Etats-Unis - District de Columbia
Date de la manifestation :
from 28-04-20 to 30-04-20
Titre de l'ouvrage principal :
2020 IEEE International Radar Conference (RADAR), Toward Metacognitive Radars: Concept and Applications
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