Compressive sensing of frequency-hopping spread spectrum signals

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

doi:10.1117/12.919561

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 proceeding › Conference contribution

7 Scopus citations

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 language	English (US)
Title of host publication	Compressive Sensing
DOIs	https://doi.org/10.1117/12.919561
State	Published - 2012
Event	Compressive Sensing - Baltimore, MD, United States Duration: Apr 26 2012 → Apr 27 2012

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	8365
ISSN (Print)	0277-786X

Other

Other	Compressive Sensing
Country/Territory	United States
City	Baltimore, MD
Period	4/26/12 → 4/27/12

Keywords

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

Access to Document

10.1117/12.919561

Cite this

@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",

series = "Proceedings of SPIE - The International Society for Optical Engineering",

booktitle = "Compressive Sensing",

note = "Compressive Sensing ; Conference date: 26-04-2012 Through 27-04-2012",

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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

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DO - 10.1117/12.919561

M3 - Conference contribution

AN - SCOPUS:84863948646

SN - 9780819490438

T3 - Proceedings of SPIE - The International Society for Optical Engineering

BT - Compressive Sensing

T2 - Compressive Sensing

Y2 - 26 April 2012 through 27 April 2012

ER -

Compressive sensing of frequency-hopping spread spectrum signals

Abstract

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Keywords

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