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 

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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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