Implementation of cyclic spectral analysis methods
Carter, Nancy J.
Loomis, Herschel H., Jr.
Bernstein, Raymond F., Jr.
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Phase-shift keyed (PSK) signal modulation methods are coming into increasing use in modern communications. This thesis describes the implementation of three methods of computing the cyclic spectrum to determine the presence of PSK signals. The Strip Spectral Correlation Algorithm (SSCA) and the Fast Fourier Transform (FFT) Accumulation Method (FAM) both estimate the cyclic spectral plane. The sub-FFT Accumulation Method (SUBFAM) program computes the Spectral Correlation Function (SCF) for a set of possible spectral frequencies for a single cycle frequency. The results of algorithm performance are presented along with a discussion of promising areas for performance enhancement and automation of signal detection and classification.
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