Cognitive software-defined radar: Evaluation of target detection with RFI avoidance

Benjamin H. Kirk, Mark A. Kozy, Kyle A. Gallagher, Ram M. Narayanan, R. Michael Buehrer, Anthony F. Martone, Kelly D. Sherbondy

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

1 Citation (Scopus)

Abstract

Demand for access to the radio frequency (RF) spectrum is higher than ever, which has led to increasing spectral congestion. This circumstance has motivated research and development of systems that can share the RF spectrum efficiently. Systems that share the spectrum non-cooperatively may occasionally attempt to access the same frequency band at the same time. These 'collisions' will cause mutual interference, which degrades the performance of both systems. While spectrum sharing techniques and systems are designed to minimize this interference, careful evaluation must be done to assess the performance of the systems sharing a given spectrum. Integration of radar signal processing with a software-defined radar system that employs reactive interference avoidance is done to evaluate the effect that interference avoidance has on radar target detection.

Original languageEnglish (US)
Title of host publication2019 IEEE Radar Conference, RadarConf 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728116792
DOIs
StatePublished - Apr 2019
Event2019 IEEE Radar Conference, RadarConf 2019 - Boston, United States
Duration: Apr 22 2019Apr 26 2019

Publication series

Name2019 IEEE Radar Conference, RadarConf 2019

Conference

Conference2019 IEEE Radar Conference, RadarConf 2019
CountryUnited States
CityBoston
Period4/22/194/26/19

Fingerprint

resin film infusion
avoidance
Target tracking
radar
Radar
computer programs
evaluation
interference
Radar systems
Frequency bands
radio frequencies
radar targets
congestion
research and development
signal processing
collisions
causes

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Signal Processing
  • Instrumentation

Cite this

Kirk, B. H., Kozy, M. A., Gallagher, K. A., Narayanan, R. M., Buehrer, R. M., Martone, A. F., & Sherbondy, K. D. (2019). Cognitive software-defined radar: Evaluation of target detection with RFI avoidance. In 2019 IEEE Radar Conference, RadarConf 2019 [8835498] (2019 IEEE Radar Conference, RadarConf 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/RADAR.2019.8835498
Kirk, Benjamin H. ; Kozy, Mark A. ; Gallagher, Kyle A. ; Narayanan, Ram M. ; Buehrer, R. Michael ; Martone, Anthony F. ; Sherbondy, Kelly D. / Cognitive software-defined radar : Evaluation of target detection with RFI avoidance. 2019 IEEE Radar Conference, RadarConf 2019. Institute of Electrical and Electronics Engineers Inc., 2019. (2019 IEEE Radar Conference, RadarConf 2019).
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abstract = "Demand for access to the radio frequency (RF) spectrum is higher than ever, which has led to increasing spectral congestion. This circumstance has motivated research and development of systems that can share the RF spectrum efficiently. Systems that share the spectrum non-cooperatively may occasionally attempt to access the same frequency band at the same time. These 'collisions' will cause mutual interference, which degrades the performance of both systems. While spectrum sharing techniques and systems are designed to minimize this interference, careful evaluation must be done to assess the performance of the systems sharing a given spectrum. Integration of radar signal processing with a software-defined radar system that employs reactive interference avoidance is done to evaluate the effect that interference avoidance has on radar target detection.",
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Kirk, BH, Kozy, MA, Gallagher, KA, Narayanan, RM, Buehrer, RM, Martone, AF & Sherbondy, KD 2019, Cognitive software-defined radar: Evaluation of target detection with RFI avoidance. in 2019 IEEE Radar Conference, RadarConf 2019., 8835498, 2019 IEEE Radar Conference, RadarConf 2019, Institute of Electrical and Electronics Engineers Inc., 2019 IEEE Radar Conference, RadarConf 2019, Boston, United States, 4/22/19. https://doi.org/10.1109/RADAR.2019.8835498

Cognitive software-defined radar : Evaluation of target detection with RFI avoidance. / Kirk, Benjamin H.; Kozy, Mark A.; Gallagher, Kyle A.; Narayanan, Ram M.; Buehrer, R. Michael; Martone, Anthony F.; Sherbondy, Kelly D.

2019 IEEE Radar Conference, RadarConf 2019. Institute of Electrical and Electronics Engineers Inc., 2019. 8835498 (2019 IEEE Radar Conference, RadarConf 2019).

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

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AB - Demand for access to the radio frequency (RF) spectrum is higher than ever, which has led to increasing spectral congestion. This circumstance has motivated research and development of systems that can share the RF spectrum efficiently. Systems that share the spectrum non-cooperatively may occasionally attempt to access the same frequency band at the same time. These 'collisions' will cause mutual interference, which degrades the performance of both systems. While spectrum sharing techniques and systems are designed to minimize this interference, careful evaluation must be done to assess the performance of the systems sharing a given spectrum. Integration of radar signal processing with a software-defined radar system that employs reactive interference avoidance is done to evaluate the effect that interference avoidance has on radar target detection.

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Kirk BH, Kozy MA, Gallagher KA, Narayanan RM, Buehrer RM, Martone AF et al. Cognitive software-defined radar: Evaluation of target detection with RFI avoidance. In 2019 IEEE Radar Conference, RadarConf 2019. Institute of Electrical and Electronics Engineers Inc. 2019. 8835498. (2019 IEEE Radar Conference, RadarConf 2019). https://doi.org/10.1109/RADAR.2019.8835498