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

6 Citations (Scopus)

Abstract

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 publicationProceedings of SPIE - The International Society for Optical Engineering
Volume8365
DOIs
StatePublished - 2012
EventCompressive Sensing - Baltimore, MD, United States
Duration: Apr 26 2012Apr 27 2012

Other

OtherCompressive Sensing
CountryUnited States
CityBaltimore, MD
Period4/26/124/27/12

Fingerprint

frequency hopping
Frequency Hopping
Compressive Sensing
Frequency hopping
Spread Spectrum
Intercept
interception
Pseudorandom Sequence
Analog-to-digital Converter
pseudorandom sequences
Bluetooth
Frequency shift keying
frequency shift keying
Digital to analog conversion
analog to digital converters
Instantaneous
specifications
Specification
Specifications
Unknown

Keywords

  • Compressed classification
  • Compressive sensing
  • FHSS
  • Scatter matrix

ASJC Scopus subject areas

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

Cite this

Liu, F., Kim, Y., Goodman, N. A., Ashok, A., & Bilgin, A. (2012). Compressive sensing of frequency-hopping spread spectrum signals. In Proceedings of SPIE - The International Society for Optical Engineering (Vol. 8365). [83650P] https://doi.org/10.1117/12.919561

Compressive sensing of frequency-hopping spread spectrum signals. / Liu, Feng; Kim, Yookyung; Goodman, Nathan A.; Ashok, Amit; Bilgin, Ali.

Proceedings of SPIE - The International Society for Optical Engineering. Vol. 8365 2012. 83650P.

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

Liu, F, Kim, Y, Goodman, NA, Ashok, A & Bilgin, A 2012, Compressive sensing of frequency-hopping spread spectrum signals. in Proceedings of SPIE - The International Society for Optical Engineering. vol. 8365, 83650P, Compressive Sensing, Baltimore, MD, United States, 4/26/12. https://doi.org/10.1117/12.919561
Liu F, Kim Y, Goodman NA, Ashok A, Bilgin A. Compressive sensing of frequency-hopping spread spectrum signals. In Proceedings of SPIE - The International Society for Optical Engineering. Vol. 8365. 2012. 83650P https://doi.org/10.1117/12.919561
Liu, Feng ; Kim, Yookyung ; Goodman, Nathan A. ; Ashok, Amit ; Bilgin, Ali. / Compressive sensing of frequency-hopping spread spectrum signals. Proceedings of SPIE - The International Society for Optical Engineering. Vol. 8365 2012.
@inproceedings{01e9a72ca65d4f5daafd66e257f98fa9,
title = "Compressive sensing of frequency-hopping spread spectrum signals",
abstract = "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.",
keywords = "Compressed classification, Compressive sensing, FHSS, Scatter matrix",
author = "Feng Liu and Yookyung Kim and Goodman, {Nathan A.} and Amit Ashok and Ali Bilgin",
year = "2012",
doi = "10.1117/12.919561",
language = "English (US)",
isbn = "9780819490438",
volume = "8365",
booktitle = "Proceedings of SPIE - The International Society for Optical Engineering",

}

TY - GEN

T1 - Compressive sensing of frequency-hopping spread spectrum signals

AU - Liu, Feng

AU - Kim, Yookyung

AU - Goodman, Nathan A.

AU - Ashok, Amit

AU - Bilgin, Ali

PY - 2012

Y1 - 2012

N2 - 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.

AB - 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.

KW - Compressed classification

KW - Compressive sensing

KW - FHSS

KW - Scatter matrix

UR - http://www.scopus.com/inward/record.url?scp=84863948646&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84863948646&partnerID=8YFLogxK

U2 - 10.1117/12.919561

DO - 10.1117/12.919561

M3 - Conference contribution

AN - SCOPUS:84863948646

SN - 9780819490438

VL - 8365

BT - Proceedings of SPIE - The International Society for Optical Engineering

ER -