Experimental demonstration of cognitive spectrum sensing & notching for radar

Jonathan W. Owen, Brandon Ravenscroft, Benjamin H. Kirk, Shannon D. Blunt, Christopher T. Allen, Anthony F. Martone, Kelly D. Sherbondy, Ram M. Narayanan

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

19 Scopus citations


A cognitive radar concept is demonstrated that incorporates spectrum sensing and subsequent waveform notching to avoid in-band interference. The interference is assumed to be caused by in-band orthogonal frequency division multiplexed (OFDM) communications in the vicinity of the radar while the notched radar waveform leverages a recently developed frequency modulated (FM) noise signal structure. To emulate real-time performance, the interference signal is measured as it hops in frequency and a fast spectrum sensing algorithm is applied to assess where notches are required. Knowledge of the determined notch location is then passed to the waveform optimization process. The interference and free-space radar measurements are synthetically combined to assess the impact of the interference with and without notching and to quantify the impact of latency.

Original languageEnglish (US)
Title of host publication2018 IEEE Radar Conference, RadarConf 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9781538641675
StatePublished - Jun 8 2018
Event2018 IEEE Radar Conference, RadarConf 2018 - Oklahoma City, United States
Duration: Apr 23 2018Apr 27 2018

Publication series

Name2018 IEEE Radar Conference, RadarConf 2018


Other2018 IEEE Radar Conference, RadarConf 2018
Country/TerritoryUnited States
CityOklahoma City

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Signal Processing
  • Instrumentation


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