Reliability problems and Pareto-optimality in cognitive radar (Invited paper)

Soltanalian, M.; Mysore, R.B.S.; Ottersten, Björn

doi:10.1109/EUSIPCO.2016.7760644

Reference : Reliability problems and Pareto-optimality in cognitive radar (Invited paper)


	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Computer science
	Focus Areas :	Security, Reliability and Trust
	To cite this reference:	http://hdl.handle.net/10993/29261

Title :	Reliability problems and Pareto-optimality in cognitive radar (Invited paper)
Language :	English
Author, co-author :	Soltanalian, M. []
	Mysore, R.B.S. []
	Ottersten, Björn [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Publication date :	Dec-2016
Main document title :	Signal Processing Conference (EUSIPCO), 2016 24th European
Publisher :	IEEE
Peer reviewed :	Yes
Audience :	International
ISBN :	978-0-9928-6265-7
Event name :	Signal Processing Conference (EUSIPCO), 2016 24th European
Event date :	from 29-08-2016 to 2-09-2016
Event place (city) :	Budapest
Event country :	Hungary
Keywords :	[en] Measurement ; Interference ; Reliability engineering ; Signal to noise ratio ; Optimization
Abstract :	[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.
Permalink :	http://hdl.handle.net/10993/29261
DOI :	10.1109/EUSIPCO.2016.7760644

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