Implementation of a cyclostationary spectral analysis algorithm on an SRC reconfigurable computer for real-time signal processing
Upperman, Gary J.
Fouts, Douglas J.
Pace, Phillip E.
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This thesis describes a near-real-time method of detecting low probability of intercept (LPI) emissions. A cyclostationary spectral analysis algorithm developed by the Center for Joint Services Electronic Warfare at the Naval Postgraduate School was implemented on the SRC-6 reconfigurable computer. This thesis is part of a larger project investigating the use of the SRC-6 for electronic intelligence detection and processing. Cyclostationary processing transforms a received signal into a frequency-cycle frequency domain which can have detection advantages over a time-frequency domain transformation. When performed at near-real-time processing speed, the algorithm can be used to detect and classify LPI emissions. The performance of the algorithm on the SRC-6 is compared to equivalent implementations in MATLAB and the C programming language.
RightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.
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