Radar waveform design in a spectrally crowded environment via nonconvex quadratic optimization (Articolo in rivista)

Type
Label
  • Radar waveform design in a spectrally crowded environment via nonconvex quadratic optimization (Articolo in rivista) (literal)
Anno
  • 2014-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1109/TAES.2014.120731 (literal)
Alternative label
  • Aubry A.; De Maio A.; Piezzo M.; Farina A. (2014)
    Radar waveform design in a spectrally crowded environment via nonconvex quadratic optimization
    in IEEE transactions on aerospace and electronic systems
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Aubry A.; De Maio A.; Piezzo M.; Farina A. (literal)
Pagina inizio
  • 1138 (literal)
Pagina fine
  • 1152 (literal)
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  • http://www.scopus.com/inward/record.url?eid=2-s2.0-84904737827&partnerID=q2rCbXpz (literal)
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  • 50 (literal)
Rivista
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  • 2 (literal)
Note
  • Scopu (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • CNR, IREA, Via Diocleziano 328, I-80124, Napoli, Italy; Universit?a Degli Studi di Napoli Federico II, Dipartimento di Ingegneria Elettrica e Tecnologie dell'Informazione, Via Claudio 21, I-80125 Napoli, Italy; Selex ES, via Tiburtina Km. 12.4, I-00131, Roma, Italy (literal)
Titolo
  • Radar waveform design in a spectrally crowded environment via nonconvex quadratic optimization (literal)
Abstract
  • Radar signal design in a spectrally crowded environment is a very challenging and topical problem due to the increasing demand for both military surveillance/remote-sensing capabilities and civilian wireless services. This paper deals with the synthesis of optimized radar waveforms ensuring spectral compatibility with the overlayed licensed electromagnetic radiators. A priori information, for instance, provided by a radio environmental map (REM), is exploited to force a spectral constraint on the radar waveform, which is thus the result of a constrained optimization process aimed at improving some radar performances (such as detection, sidelobes, resolution, tracking). The feasibility of the waveform optimization problem is extensively studied, and a solution technique leading to an optimal waveform is proposed. The procedure requires the relaxation of the original problem into a convex optimization problem and involves a polynomial computational complexity. At the analysis stage, the waveform performance is studied in terms of trade-off among the achievable signal to interference plus noise ratio (SINR), spectral shape, and the resulting autocorrelation function (ACF). © 2014 IEEE. (literal)
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