Implementation of a cyclostationary spectral analysis algorithm on an SRC reconfigurable computer for real-time signal processing

摘要

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.