Single Channel RF Signal Recovery for Nyquist Folding Receiver

F. Uysal, J.C. Martin, N.A. Goodman

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

1 Citation (Scopus)
18 Downloads (Pure)


This paper presents a method for exploiting wideband spectral information of real-valued radio frequency (RF) signals using the Nyquist Folding Receiver architecture. A new system model based on a symmetric modulation matrix is introduced so that the frequency band of the real input signals can be estimated without in-phase and quadrature reception and processing. To recover the original frequency of the input RF signal, we use the parameter-free sparse learning via iterative minimization (SLIM) method. Finally, the proposed model and the success of the recovery algorithm are demonstrated with data collected from an experimental testbed.
Original languageEnglish
Title of host publicationIET International Conference on Radar Systems 2017
Place of PublicationLondon
PublisherInstitution of Engineering and Technology
Number of pages4
Publication statusPublished - 2017
EventRadar 2017: IET International Conference on Radar Systems - Belfast Waterfront Conference Centre, Belfast, United Kingdom
Duration: 23 Oct 201726 Oct 2017

Publication series

NameIET Conference Publications


ConferenceRadar 2017: IET International Conference on Radar Systems
CountryUnited Kingdom
Internet address

Bibliographical note

Accepted Author Manuscript


  • Analog-to-information (A2I)
  • Compressed sensing (CS)
  • Nyquist folding receiver (NYFR)


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