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MIMO Radar Waveform Design for Spectrum Sharing with Cellular Systems [electronic resource] : A MATLAB Based Approach / by Awais Khawar, Ahmed Abdelhadi, T. Charles Clancy.

By: Contributor(s): Series: SpringerBriefs in Electrical and Computer EngineeringPublisher: Cham : Springer International Publishing : Imprint: Springer, 2016Description: XIII, 59 p. 15 illus., 11 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783319297255
Subject(s): Genre/Form: Additional physical formats: Printed edition:: No titleDDC classification:
  • 621.382 23
LOC classification:
  • TK1-9971
Online resources:
Contents:
Introduction -- BPSK Radar Waveform -- QPSK Radar Waveform -- Appendix A: Solution of Waveform Design Optimization Problem -- Appendix B: MATLAB Code for Waveform Design.
In: Springer eBooksSummary: This book discusses spectrum sharing between cellular systems and radars. The book addresses a novel way to design radar waveforms that can enable spectrum sharing between radars and communication systems, without causing interference to communication systems, and at the same time achieving radar objectives of target detection, estimation, and tracking. The book includes a MATLAB-based approach, which provides reader with a way to learn, experiment, compare, and build on top of existing algorithms.
Item type: eBooks
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Introduction -- BPSK Radar Waveform -- QPSK Radar Waveform -- Appendix A: Solution of Waveform Design Optimization Problem -- Appendix B: MATLAB Code for Waveform Design.

This book discusses spectrum sharing between cellular systems and radars. The book addresses a novel way to design radar waveforms that can enable spectrum sharing between radars and communication systems, without causing interference to communication systems, and at the same time achieving radar objectives of target detection, estimation, and tracking. The book includes a MATLAB-based approach, which provides reader with a way to learn, experiment, compare, and build on top of existing algorithms.

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