Feature Extraction of Intra-Pulse Modulated Radar Signals Using Time-Frequency Analysis

Abstract

This thesis applies time-frequency transformations to radar signals. Specifically, it considers the feasibility of applying time-frequency transformations to extract the intra-pulse modulation parameters of radar signals. In this work, we consider radar signals with analog pulse compression; specifically linear or hyperbolic intra-pulse modulation. Several time-frequency transformations are investigated to identify which one gives the most accurate image representation for signals in noisy environments. Next, image processing techniques are applied in conjunction with an adaptive curve fitting method, for the hyperbolic modulation scheme, to extract the parameters of the frequency equation. Results show that for the linear chip case the frequency equation can be estimated with small error down to SNR equal to -10dB. The proposed method for the hyperbolic chirp modulation is less immune to noise degradation and it can be used down to SNR level equal to 2dB.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1999
Accession Number
ADA371390

Entities

People

  • Ioannis Moraitakis

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Bandwidth
  • Compression
  • Curve Fitting
  • Degradation
  • Electrical Engineering
  • Feature Extraction
  • Frequency
  • Frequency Bands
  • Frequency Domain
  • Image Processing
  • Modulation
  • Pulse Compression
  • Pulse Modulation
  • Radar Signals
  • Signal Processing
  • Two Dimensional

Fields of Study

  • Engineering

Readers

  • Computer Vision.
  • Linear Algebra
  • Speech Processing/Speech Recognition.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference