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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, Charles Clancy.

By: Khawar, Awais [author.].
Contributor(s): Abdelhadi, Ahmed [author.] | Clancy, Charles [author.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: SpringerBriefs in Electrical and Computer Engineering: Publisher: Cham : Springer International Publishing : Imprint: Springer, 2016Edition: 1st ed. 2016.Description: XIII, 59 p. 15 illus., 11 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319297255.Subject(s): Telecommunication | Electric power production | Communications Engineering, Networks | Electrical Power Engineering | Microwaves, RF Engineering and Optical CommunicationsAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 621.382 Online resources: Click here to access online
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 Nature eBookSummary: 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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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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