Open Access

Target Identification Using Harmonic Wavelet Based ISAR Imaging

  • B. K. Shreyamsha Kumar1Email author,
  • B. Prabhakar1,
  • K. Suryanarayana1,
  • V. Thilagavathi1 and
  • R. Rajagopal1
EURASIP Journal on Advances in Signal Processing20062006:086053

Received: 30 April 2005

Accepted: 23 November 2005

Published: 21 March 2006


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.


FourierFourier TransformInformation TechnologyAnalysis ToolQuantum Information


Authors’ Affiliations

Central Research Laboratory, Bharat Electronics Limited, Bangalore, India


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© Kumar et al. 2006