Implementation of cyclic spectral analysis methods
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Authors
Carter, Nancy J.
Subjects
Cyclic spectral analysis
Cyclostationary
Cyclic spectrum
Strip spectral correlation algorithm
Fast Fourier transform accumulation method
Cyclostationary
Cyclic spectrum
Strip spectral correlation algorithm
Fast Fourier transform accumulation method
Advisors
Loomis, Herschel H., Jr.
Bernstein, Raymond F., Jr.
Date of Issue
1992-12
Date
December 1992
Publisher
Monterey, California. Naval Postgraduate School
Language
en_US
Abstract
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.
Type
Thesis
Description
Series/Report No
Department
Department of Electrical and Computer Engineering
Organization
Naval Postgraduate School
Identifiers
NPS Report Number
Sponsors
Funder
Format
105 p.
Citation
Distribution Statement
Approved for public release; distribution is unlimited.
Rights
This 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.