Energy efficient communication with radar spectrum sharing
ID:139 View Protection:ATTENDEE Updated Time:2020-08-05 10:17:28 Hits:405 Oral Presentation

Start Time:2020-06-08 15:20(Asia/Shanghai)

Duration:20min

Session:S Special Session » SS07Advanced Techniques In Radar Detection, Localization, And Electronic Counter-Measures

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Abstract
In this work, we consider the joint design of a surveillance radar and a multiple-input multiple-output communication system sharing the same bandwidth. In this framework, we maximize the energy efficiency at the communication system (i.e., the amount of information reliably delivered per unit of consumed energy) under a constraint on the minimum signal-to-disturbance ratio for each inspected range-azimuth resolution cell of the radar. The transmit powers of both systems, the space-time linear communication codebook, and the radar receive filters are the degrees of freedom for joint system optimization. The block coordinate ascent method is used to find an approximate solution to this optimization problem, and a numerical example is provided to show the merits of the proposed design strategy.
Keywords
Spectral coexistence; radar-communications convergence; joint system design; MIMO communications; surveillance radars; energy efficiency
Speaker
Emanuele Grossi
University of Cassino and Southern Lazio & Consorzio Nazionale Inter-universitario per le Telecomunicazioni (CNIT), Italy

Submission Author
Emanuele Grossi University of Cassino and Southern Lazio & Consorzio Nazionale Inter-universitario per le Telecomunicazioni (CNIT), Italy
Marco Lops University of Naples Federico II & CNIT - Consorzio Universitario Nazionale per le Telecomunicazioni, Italy
Luca Venturino Universita' degli Studi di Cassino e del Lazio Merdionale & Consorzio Nazionale Interuniversitario per le Telecomunicazioni (CNIT), Italy
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Important Date
  • Conference Date

    Jun 08

    2020

    to

    Jun 11

    2020

  • Jan 12 2020

    Draft paper submission deadline

  • Apr 15 2020

    Early Bird Registration

  • Dec 31 2020

    Registration deadline

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IEEE Signal Processing Society
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