Spectrum sensing techniques for nonlinear radar

Anthony Martone, Kenneth Ranney, Gregory Mazzaro, David McNamara, Jerry Silvious, Kelly Sherbondy, Kyle Gallagher, Ram Mohan Narayanan

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

2 Scopus citations

Abstract

In this paper, spectrum sensing techniques are explored for nonlinear radar. These techniques use energy detection to identify an unoccupied receive frequency for nonlinear radar. A frequency is considered unoccupied if it satisfies the following criteria: 1) for a given frequency of interest, its energy must be below a predetermined threshold; 2) the surrounding energy of this frequency must also be below a predetermined threshold. Two energy detection techniques are used to select an unoccupied frequency. The first technique requires the fast Fourier transform and a weighting function to test the energy in neighboring frequency bins; both of these procedures may require a high degree of computational resources. The second technique uses multirate digital signal processing and the fast binary search techniques to lower the overall computational complexity while satisfying the requirements for an unoccupied frequency.

Original languageEnglish (US)
Title of host publicationRadar Sensor Technology XVIII
PublisherSPIE
ISBN (Print)9781628410143
DOIs
StatePublished - 2014
EventRadar Sensor Technology XVIII - Baltimore, MD, United States
Duration: May 5 2014May 7 2014

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume9077
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Other

OtherRadar Sensor Technology XVIII
Country/TerritoryUnited States
CityBaltimore, MD
Period5/5/145/7/14

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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