Compressive sensing of frequency-hopping spread spectrum signals

Feng Liu, Yookyung Kim, Nathan A. Goodman, Amit Ashok, Ali Bilgin

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

7 Scopus citations


In this paper, compressive sensing strategies for interception of Frequency-Hopping Spread Spectrum (FHSS) signals are introduced. Rapid switching of the carrier among many frequency channels using a pseudorandom sequence (unknown to the eavesdropper) makes FHSS signals difficult to intercept. The conventional approach to intercept FHSS signals necessitates capturing of all frequency channels and, thus, requires the Analog-to-Digital Converters (ADCs) to sample at very high rates. Using the fact that the FHSS signals have sparse instantaneous spectra, we propose compressive sensing strategies for their interception. The proposed techniques are validated using Gaussian Frequency-Shift Keying (GFSK) modulated FHSS signals as defined by the Bluetooth specification.

Original languageEnglish (US)
Title of host publicationCompressive Sensing
StatePublished - 2012
EventCompressive Sensing - Baltimore, MD, United States
Duration: Apr 26 2012Apr 27 2012

Publication series

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


OtherCompressive Sensing
Country/TerritoryUnited States
CityBaltimore, MD


  • Compressed classification
  • Compressive sensing
  • FHSS
  • Scatter matrix

ASJC Scopus subject areas

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


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