Reference : Reliability problems and Pareto-optimality in cognitive radar (Invited paper)
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Computer science
Security, Reliability and Trust
Reliability problems and Pareto-optimality in cognitive radar (Invited paper)
Soltanalian, M. []
Mysore, R.B.S. []
Ottersten, Björn mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Signal Processing Conference (EUSIPCO), 2016 24th European
Signal Processing Conference (EUSIPCO), 2016 24th European
from 29-08-2016 to 2-09-2016
[en] Measurement ; Interference ; Reliability engineering ; Signal to noise ratio ; Optimization
[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.

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