Signal Separation of Helicopter Radar Returns Using Wavelet-Based Sparse Signal Optimisation

Abstract

A novel wavelet-based sparse signal representation technique is used to separate the main and tail rotor blade components of a helicopter from the composite radar returns. The received signal consists of returns from the rotating main and tailrotor blades, the helicopter body, possible land or sea clutter, and other residual components, which may all overlap in time and frequency; and therefore conventional time and frequency separation techniques cannot be applied. A sparse signal representation technique is now proposed for this problem with the tunable Q wavelet transform used as the dictionary. The proposed algorithm is demonstrated using both simulated and real radar data (X and Ku-band), and is capable of extracting the components of interest successfully.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2016
Accession Number
AD1024210

Entities

People

  • Hai-tan Tran
  • Rocco Melino
  • Sandun Kodituwakku
  • Si T. Nguyen

Organizations

  • Defence Science and Technology Group

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Aircrafts
  • Aspect Angle
  • Band Spectra
  • Bandwidth
  • Classification
  • Compressed Sensing
  • Doppler Effect
  • Doppler Radar
  • Experimental Data
  • Filters
  • Filtration
  • Frequency Bands
  • Frequency Response
  • Helicopter Rotors
  • Signal Processing
  • Tail Rotors
  • Target Recognition

Readers

  • Aerodynamics.
  • Computer Vision.
  • Radar Systems Engineering.