Cognitive software defined radar: A reactive approach to RFI avoidance

Benjamin H. Kirk, Kyle A. Gallagher, Jonathan W. Owen, Ram M. Narayanan, Anthony F. Martone, Kelly D. Sherbondy

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

9 Scopus citations

Abstract

The need for radar systems to autonomously adapt to their environment is growing along with the desire for utilizing more bandwidth. However, the RF spectrum will only continue to become more crowded. A cognitive radar system with the functionality to sense and avoid other RF signals in the radar's frequency band of interest is presented. In order to meet this challenge, the radar system developed is capable of sensing and avoiding time varying signals that change on the order of tens of milliseconds. This paper outlines the cognitive radar system design with an emphasis on system timing. The paper also describes a hardware implemented test bed for analyzing the cognitive sense and avoid algorithm with various communication signals as interference.

Original languageEnglish (US)
Title of host publication2018 IEEE Radar Conference, RadarConf 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages630-635
Number of pages6
ISBN (Electronic)9781538641675
DOIs
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

Other

Other2018 IEEE Radar Conference, RadarConf 2018
CountryUnited States
CityOklahoma City
Period4/23/184/27/18

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All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Signal Processing
  • Instrumentation

Cite this

Kirk, B. H., Gallagher, K. A., Owen, J. W., Narayanan, R. M., Martone, A. F., & Sherbondy, K. D. (2018). Cognitive software defined radar: A reactive approach to RFI avoidance. In 2018 IEEE Radar Conference, RadarConf 2018 (pp. 630-635). (2018 IEEE Radar Conference, RadarConf 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/RADAR.2018.8378632