PSK Shift Timing Information Detection Using Image Processing and a Matched Filter

Abstract

This thesis investigates the detection of phase shifts contained within a noisy Phase Shift Keyed modulated signal. The approach derived in this work applies image-processing techniques including two-dimensional filters, edge detection, morphological processing, and a two-dimensional cross-correlation matched filter to detect the phase shifts from the angle of the signal temporal correlation function. Results show the proposed algorithm is robust to additive white noise distortions down to SNR levels of 4 dB.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2009
Accession Number
ADA509240

Entities

People

  • Joseph E. Kramer

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • C4I
  • Space

DTIC Thesaurus Topics

  • Algorithms
  • Carrier Frequencies
  • Change Detection
  • Computer Programs
  • Computer Vision
  • Cross Correlation
  • Detection
  • Electrical Engineering
  • Filters
  • Frequency Shift
  • Image Processing
  • Matched Filters
  • Noise
  • Phase Shift
  • Signal Processing
  • Statistics
  • Two Dimensional

Fields of Study

  • Engineering

Readers

  • Computer Vision.
  • Radar Systems Engineering.
  • Radio communications and signal processing.