Fractional fourier transform based co-radar waveform: experimental validation

Domenico Gaglione, Carmine Clemente, Adriano Rosario Persico, Christos V. Ilioudis, Ian K. Proudler, John J. Soraghan

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

1 Citation (Scopus)
256 Downloads (Pure)

Abstract

A Fractional Fourier Transform (FrFT) based waveform design for joint radar-communication systems (Co-Radar) that embeds data into chirp sub-carriers with different time-frequency rates has been recently presented. Simulations demonstrated the possibility to reach data rates as high as 3.660 Mb/s while maintaining good radar performance compared to a Linear Frequency Modulated (LFM) pulse that occupies the same bandwidth. In this paper the experimental validation of the concept is presented. The system is considered in its basic configuration, with a mono-static radar that generates the waveforms and performs basic radar tasks, and a communication receiver in charge of the pulse demodulation. The entire network is implemented on a Software Defined Radio (SDR) device. The system is then used to acquire data and assess radar and communication capabilities.
Original languageEnglish
Title of host publication2016 IEEE Sensor Signal Processing for Defence (SSPD)
Place of PublicationPiscataway, NJ.
PublisherIEEE
Number of pages5
ISBN (Print)9781509003266
DOIs
Publication statusPublished - 18 Oct 2016
Event6th Conference of the Sensor Signal Processing for Defence - Royal College of Surgeons, Edinburgh, United Kingdom
Duration: 22 Sep 201623 Sep 2016
Conference number: 6

Conference

Conference6th Conference of the Sensor Signal Processing for Defence
Abbreviated titleSSPD 2016
CountryUnited Kingdom
CityEdinburgh
Period22/09/1623/09/16

Keywords

  • fractional fourier transform
  • radar
  • communication

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    Gaglione, D., Clemente, C., Persico, A. R., Ilioudis, C. V., Proudler, I. K., & Soraghan, J. J. (2016). Fractional fourier transform based co-radar waveform: experimental validation. In 2016 IEEE Sensor Signal Processing for Defence (SSPD) IEEE. https://doi.org/10.1109/SSPD.2016.7590601