Classification of LPI radar signals using spectral correlation and support vector machines
| Autor: | Garrett Vanhoy, Thomas Schucker, Tamal Bose |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Engineering
Frequency-shift keying business.industry 020206 networking & telecommunications Pattern recognition 02 engineering and technology Signal 020501 mining & metallurgy Surfaces Coatings and Films law.invention 0205 materials engineering Transmission (telecommunications) Hardware and Architecture Modulation law Signal Processing 0202 electrical engineering electronic engineering information engineering Electronic engineering Polyphase system Frequency-hopping spread spectrum Artificial intelligence Radar business Low probability of intercept radar |
| Zdroj: | Analog Integrated Circuits and Signal Processing. 91:305-313 |
| ISSN: | 1573-1979 0925-1030 |
| DOI: | 10.1007/s10470-017-0944-0 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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