Accession Number : ADA261715


Title :   Implementation of Cyclic Spectral Analysis Methods


Descriptive Note : Master's thesis


Corporate Author : NAVAL POSTGRADUATE SCHOOL MONTEREY CA


Personal Author(s) : Carter, Nancy J


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/a261715.pdf


Report Date : Dec 1992


Pagination or Media Count : 112


Abstract : Phase-shift keyed (PSK) signal modulation methods are coming into increasing use in modem 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.


Descriptors :   *SPECTRA , *SIGNALS , *ACCUMULATION , *PHASE SHIFT KEYERS , *MODULATION , *MODEMS , ALGORITHMS , FREQUENCY , FUNCTIONS , COMPUTATIONS , AUTOMATION , CLASSIFICATION , FAST FOURIER TRANSFORMS , CORRELATION , DETECTION , AUGMENTATION , THESES , CYCLES , ESTIMATES


Subject Categories : Numerical Mathematics
      Computer Systems
      Atomic and Molecular Physics and Spectroscopy
      Radio Communications


Distribution Statement : APPROVED FOR PUBLIC RELEASE