Classification of LPI radar signals using spectral correlation and support vector machines

Garrett Vanhoy, Thomas Schucker, Tamal Bose

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

In modern radar systems, low probability of intercept (LPI) waveforms are used to make detection by a potential adversary difficult. This is accomplished using wideband waveforms, frequency hopping, and continuous waveforms (FMCW) to reduce the signal profile. The low signal profile of the LPI signal enables the radar to perform detection and or target tracking while the target remains unaware. Several modulation techniques such as polytime codes, polyphase codes, FSK, and FMCW are used to produce LPI signals for transmission. This paper looks at the ability of spectral correlation along with a support vector machine in order to automatically classify the different LPI signal types in a non-cooperative environment.

Original languageEnglish (US)
Pages (from-to)305-313
Number of pages9
JournalAnalog Integrated Circuits and Signal Processing
Volume91
Issue number2
DOIs
StatePublished - May 1 2017

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Support vector machines
Radar
Frequency hopping
Frequency shift keying
Radar systems
Target tracking
Modulation

Keywords

  • Low probability of intercept
  • Radar signal processing
  • Spectral correlation
  • Support vector machines

ASJC Scopus subject areas

  • Signal Processing
  • Hardware and Architecture
  • Surfaces, Coatings and Films

Cite this

Classification of LPI radar signals using spectral correlation and support vector machines. / Vanhoy, Garrett; Schucker, Thomas; Bose, Tamal.

In: Analog Integrated Circuits and Signal Processing, Vol. 91, No. 2, 01.05.2017, p. 305-313.

Research output: Contribution to journalArticle

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