Measurement; Interference; Reliability engineering; Signal to noise ratio; Optimization
Résumé :
[en] Cognitive radar refers to an adaptive sensing system exhibiting high degree of waveform adaptivity and diversity enabled by intelligent processing and exploitation of information from the environment. The next generation of radar systems are characterized by their application to scenarios exhibiting non-stationary scenes as well as interference caused by use of shared spectrum. Cognitive radar systems, by their inherent adaptivity, seem to be the natural choice for such applications. However, adaptivity opens up reliability issues due to uncertainties induced in the information gathering and processing. This paper lists some of the reliability aspects foreseen for cognitive radar systems and motivates the need for waveform designs satisfying different metrics simultaneously towards enhancing the reliability. An iterative framework based on multi-objective optimization is proposed to provide Pareto-optimal waveform designs.
Disciplines :
Sciences informatiques
Auteur, co-auteur :
Soltanalian, M.
Mysore, R.B.S.
OTTERSTEN, Björn ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Co-auteurs externes :
yes
Langue du document :
Anglais
Titre :
Reliability problems and Pareto-optimality in cognitive radar (Invited paper)
Date de publication/diffusion :
décembre 2016
Nom de la manifestation :
Signal Processing Conference (EUSIPCO), 2016 24th European
Lieu de la manifestation :
Budapest, Hongrie
Date de la manifestation :
from 29-08-2016 to 2-09-2016
Manifestation à portée :
International
Titre de l'ouvrage principal :
Signal Processing Conference (EUSIPCO), 2016 24th European
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