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

[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 :

Computer science

Author, co-author :

Soltanalian, M.

Mysore, R.B.S.

Ottersten, Björn ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)

External co-authors :

yes

Language :

English

Title :

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

Publication date :

December 2016

Event name :

Signal Processing Conference (EUSIPCO), 2016 24th European

Event place :

Budapest, Hungary

Event date :

from 29-08-2016 to 2-09-2016

Audience :

International

Main work title :

Signal Processing Conference (EUSIPCO), 2016 24th European

Publisher :

IEEE

ISBN/EAN :

978-0-9928-6265-7

Peer reviewed :

Peer reviewed

Focus Area :

Security, Reliability and Trust

Available on ORBilu :

since 05 January 2017

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