Compressive detection of frequency-hopping spread spectrum signals

Feng Liu, Michael W. Marcellin, Nathan A. Goodman, Ali Bilgin

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

8 Scopus citations


In this paper, compressive detection strategies for FHSS signals are introduced. Rapid switching of the carrier frequency among many channels using a pseudorandom sequence makes detection of FHSS signals challenging. The conventional approach to detect these signals is to rapidly scan small segments of the spectrum sequentially. However, such a scanner has the inherent risk of never overlapping with the transmitted signal depending on factors such as rate of hopping and scanning. In this paper, we propose compressive detection strategies that sample the full spectrum in a compressive manner. Theory and simulations are presented to illustrate the benefits of the proposed framework.

Original languageEnglish (US)
Title of host publicationCompressive Sensing II
StatePublished - 2013
EventCompressive Sensing II - Baltimore, MD, United States
Duration: May 2 2013May 3 2013

Publication series

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


OtherCompressive Sensing II
Country/TerritoryUnited States
CityBaltimore, MD


  • Compressive sensing
  • FHSS
  • Scanning
  • Signal detection

ASJC Scopus subject areas

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


Dive into the research topics of 'Compressive detection of frequency-hopping spread spectrum signals'. Together they form a unique fingerprint.

Cite this