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

Garrett Vanhoy, Thomas Schucker, Tamal Bose

Research output: Contribution to journalArticlepeer-review

26 Scopus citations


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
Issue number2
StatePublished - May 1 2017


  • 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


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