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Target Identification Using Harmonic Wavelet Based ISAR Imaging

  • B. K. Shreyamsha Kumar
  • B. Prabhakar
  • K. Suryanarayana
  • V. Thilagavathi
  • R. Rajagopal
Open Access
Research Article
Part of the following topical collections:
  1. Inverse Synthetic Aperture Radar

Abstract

A new approach has been proposed to reduce the computations involved in the ISAR imaging, which uses harmonic wavelet-(HW) based time-frequency representation (TFR). Since the HW-based TFR falls into a category of nonparametric time-frequency (T-F) analysis tool, it is computationally efficient compared to parametric T-F analysis tools such as adaptive joint time-frequency transform (AJTFT), adaptive wavelet transform (AWT), and evolutionary AWT (EAWT). Further, the performance of the proposed method of ISAR imaging is compared with the ISAR imaging by other nonparametric T-F analysis tools such as short-time Fourier transform (STFT) and Choi-Williams distribution (CWD). In the ISAR imaging, the use of HW-based TFR provides similar/better results with significant (92%) computational advantage compared to that obtained by CWD. The ISAR images thus obtained are identified using a neural network-based classification scheme with feature set invariant to translation, rotation, and scaling.

Keywords

Fourier Fourier Transform Information Technology Analysis Tool Quantum Information 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Kumar et al. 2006

Authors and Affiliations

  • B. K. Shreyamsha Kumar
    • 1
  • B. Prabhakar
    • 1
  • K. Suryanarayana
    • 1
  • V. Thilagavathi
    • 1
  • R. Rajagopal
    • 1
  1. 1.Central Research LaboratoryBharat Electronics LimitedBangaloreIndia

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