Separation of Target Rigid Body and Micro-Doppler Effects in ISAR/SAR Imaging

Abstract

The micro-Doppler (m-D) effect is caused by moving parts of the radar target. This effect can degrade the quality of the ISAR/SAR image. However, at the same time, it carries information about the features of moving parts. The separation of the patterns caused by the stationary parts of the target from those caused by the moving (rotating or vibrating) parts is the topic of this report. Two techniques for the separation of the rigid part from the rotating parts have been proposed. The first technique is based on the time-frequency (TF) representation with sliding windows and order statistics techniques. The first step in this technique is the recognition of rigid parts in the range/cross-range plane. In the second step, the spectrogram and order statistics setup are employed to obtain the signals caused by the moving parts. The second technique based on the Radon transform can be applied in the case of very emphatic m-D effect. In the first step the rotating parts are recognized, based on the inverse Radon transform. After masking these patterns, a radar image with the rigid body reflection can be obtained. The proposed methods are illustrated by examples. The proposed methods not only focus the distorted SAR/ISAR images, but also provide additional information about the rotating/vibrating features of the target.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2006
Accession Number
ADA456905

Entities

People

  • Thayananthan Thayaparan

Organizations

  • Defence Research and Development Canada

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Aircrafts
  • Classification
  • Detection
  • Doppler Effect
  • Fixed Wing Aircraft
  • Frequency
  • Frequency Shift
  • National Security
  • Order Statistics
  • Radar Images
  • Radar Signals
  • Radar Targets
  • Recognition
  • Security
  • Targets
  • Turbines
  • Two Dimensional

Fields of Study

  • Engineering

Readers

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