Application of Joint Time-Frequency Representations to a Maneuvering Air Target in Sea-Clutter: Analysis Beyond FFT

Abstract

Traditionally, radar signals have been analyzed in either the time or the frequency domain. Joint time-frequency representations characterize signals over a time-frequency plane. They thus combine time-domain and frequency-domain analyses to yield a potentially more revealing picture of the temporal localization of a signal's spectral components. Therefore, for air target returns with time-varying frequency content, the joint time-frequency representations offer a powerful analysis tool. A concise review of time-frequency transforms is provided as background and is needed to appreciate how time-frequency processing methods can improve conventional time or frequency processing methods. The report then describes and illustrates the advantages of using joint time-frequency techniques to analyze a multi-component signal, a noisy signal, and experimental aircraft data. Finally, we use time-frequency analysis techniques for the detection of maneuvering aircraft using HF radar in heavily cluttered regions. We compare the ability of different time-frequency transforms to resolve several experimental aircraft returns. The results clearly demonstrate that time-frequency analysis techniques can significantly improve the detection performance of the HF radar and add considerable physical insight over what can be achieved by conventional Fourier transform methods currently used by HF radars.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2003
Accession Number
ADA416872

Entities

People

  • S. Kennedy
  • T. Thayaparan

Organizations

  • Defence Research and Development Canada

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Abstracts
  • Aircrafts
  • Classification
  • Detection
  • Frequency
  • Frequency Domain
  • Frequency Modulation
  • Frequency Shift
  • Gaussian Noise
  • Image Processing
  • Radar Signals
  • Sea Clutter
  • Security
  • Signal Processing
  • Surface Waves
  • Time Domain
  • Wavelet Transforms

Fields of Study

  • Engineering

Readers

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