Implementation of Cyclic Spectral Analysis Methods

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.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1992
Accession Number
ADA261715

Entities

People

  • Nancy J. Carter

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Amplitude Modulation
  • Classification
  • Computer Programs
  • Computers
  • Data Reduction
  • Electrical Engineering
  • Engineering
  • Fast Fourier Transforms
  • Frequency Bands
  • Image Processing
  • Phase Shift
  • Security
  • Signal Detection
  • Signal Processing
  • Time Intervals
  • Two Dimensional
  • United States

Fields of Study

  • Engineering

Readers

  • Image Processing and Computer Vision.
  • Radio communications and signal processing.