Radar tools for spectrum assessment and prediction

Anthony F. Martone, Kelly D. Sherbondy, Kyle A. Gallagher, Jake A. Kovarskiy, Ram M. Narayanan

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

2 Citations (Scopus)

Abstract

In this paper we introduce an assessment and prediction technique for radar spectrum access in a dynamic electromagnetic environment. The proposed technique expands upon the existing spectrum sensing, multi-objective optimization (SSMO) framework for the joint optimization of the radar's signal to interference plus noise ratio (SINR) and range resolution. The proposed framework gathers training information in one spatial sector while the radar operates in another sector. The training information is used to form statistical estimates of the SINR and radio-frequency (RF) emitter activity. The predictive SSMO (pSSMO) technique then uses the training information during radar operation to avoid collisions with other RF emitters. Synthetic and measured Global System for Mobile (GSM) communication waveform data are processed by the proposed technique and the results indicate similar performance between the simulated and measured dataset, thereby validating the results.

Original languageEnglish (US)
Title of host publication2018 IEEE Radar Conference, RadarConf 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages647-652
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

Fingerprint

radar
Radar
education
Multiobjective optimization
predictions
optimization
radio frequencies
emitters
sectors
interference
Global system for mobile communications
waveforms
communication
electromagnetism
collisions
estimates

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Signal Processing
  • Instrumentation

Cite this

Martone, A. F., Sherbondy, K. D., Gallagher, K. A., Kovarskiy, J. A., & Narayanan, R. M. (2018). Radar tools for spectrum assessment and prediction. In 2018 IEEE Radar Conference, RadarConf 2018 (pp. 647-652). (2018 IEEE Radar Conference, RadarConf 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/RADAR.2018.8378635
Martone, Anthony F. ; Sherbondy, Kelly D. ; Gallagher, Kyle A. ; Kovarskiy, Jake A. ; Narayanan, Ram M. / Radar tools for spectrum assessment and prediction. 2018 IEEE Radar Conference, RadarConf 2018. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 647-652 (2018 IEEE Radar Conference, RadarConf 2018).
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Martone, AF, Sherbondy, KD, Gallagher, KA, Kovarskiy, JA & Narayanan, RM 2018, Radar tools for spectrum assessment and prediction. in 2018 IEEE Radar Conference, RadarConf 2018. 2018 IEEE Radar Conference, RadarConf 2018, Institute of Electrical and Electronics Engineers Inc., pp. 647-652, 2018 IEEE Radar Conference, RadarConf 2018, Oklahoma City, United States, 4/23/18. https://doi.org/10.1109/RADAR.2018.8378635

Radar tools for spectrum assessment and prediction. / Martone, Anthony F.; Sherbondy, Kelly D.; Gallagher, Kyle A.; Kovarskiy, Jake A.; Narayanan, Ram M.

2018 IEEE Radar Conference, RadarConf 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 647-652 (2018 IEEE Radar Conference, RadarConf 2018).

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

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Martone AF, Sherbondy KD, Gallagher KA, Kovarskiy JA, Narayanan RM. Radar tools for spectrum assessment and prediction. In 2018 IEEE Radar Conference, RadarConf 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 647-652. (2018 IEEE Radar Conference, RadarConf 2018). https://doi.org/10.1109/RADAR.2018.8378635