USING CYCLOSTATIONARY ANALYSIS IN ELECTROMAGNETIC SPECTRUM MONITORING

Desimir Vučić

Ivan Pokrajac

Predrag Okiljević

Abstrakt:

Most communication and other dedicated generated signals (manmade signals) contain some significant inherent periodicity, ie. exhibit cyclostationary properties, which are usually incurred as a result of the applied modulation and coding. Cyclostationary signals or processes are important for expressing the spectral correlation. Spectral correlation of cyclostationary signals cannot be observed using classical spectral analysis and for this purpose, it is necessary to use cyclic spectral analysis (CSA – Cyclic Speciral Analyisis).

The application of cyclic spectral analysis is important in various areas of processing signals. Today's trends of cyclic spectral analysis should enable the detection, classification and identification of signals in systems for spectrum sensing. In addition, the application of cyclic spectral analysis is important in systems for electronic warfare, primarily in systems for electronic support, or systems for intelligence gathering interceptions of telecommunication or radar signals. By the cyclic spectral analysis it is possible to separate the signals to the signals of interest and signals of no interest, which allows selective estimation of direction of arrival or selective locating transmitter of interest. Of course, these features of cyclic spectral analysis are used in systems for spectrum sensing.

Key words: electromagnetic spectrum, signal analysis, cyclic spectral analysis, signal generating, signal processing, signal detection, signal classification, signal identification, signal recognition, systems for electronic warfare.