Detection and Estimation of Frequency Hopping Signals Using Wavelet Transforms

Abstract

This thesis investigates the use of wavelet transforms in the detection and estimation of spread spectrum frequency hopping signals. The technique developed in this work makes only two basic assumptions of a minimum hopping time and a minimum frequency hopping differential. The approach is based on the phase information of the temporal correlation function and the resulting discrete wavelet transform is used to estimate the hopping time of frequency hopping signals. Results show the proposed scheme is robust to additive white noise for SNR levels of 3 dB and above.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1997
Accession Number
ADA339336

Entities

People

  • Howard F. Overdyk

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Space

DTIC Thesaurus Topics

  • Algorithms
  • Code Division Multiple Access
  • Communications Techniques
  • Computer Programs
  • Computers
  • Detection
  • Electrical Engineering
  • Fourier Analysis
  • Frequency
  • Frequency Agility
  • Frequency Shift
  • Modulation
  • Multiple Access
  • Pattern Recognition
  • Signal Processing
  • Two Dimensional
  • Wavelet Transforms

Fields of Study

  • Engineering

Readers

  • Image Processing and Computer Vision.
  • Radar Systems Engineering.