Extracting micro-Doppler radar signatures from rotating targets using Fourier-Bessel Transform and Time-Frequency analysis


  1. Suresh, P.
  2. Thayaparan, T.
  3. Obulesu, T.
  4. Venkataramaniah, K.
Corporate Authors
Defence Research and Development Canada, Ottawa Research Centre, Ottawa ON (CAN);Department of Physics, Sri Sathya Sai Institute of Higher Learning, Prashanthinilayam (India)
In this paper, we report the efficiency of Fourier Bessel transform and time-frequency based method in conjunction with the fractional Fourier transform, for extracting micro-Doppler radar signatures from the rotating targets. This approach comprises mainly of two processes; the first being decomposition of the radar return, in order to extract micro-Doppler (m-D) features and the second being, the time frequency analysis to estimate motion parameters of the target. In order to extract m-D features from the radar signal returns, the time domain radar signal is decomposed into stationary and non-stationary components using Fourier Bessel transform in conjunction with the fractional Fourier transform. The components are then reconstructed by applying the inverse Fourier Bessel transform. After the extraction of the m-D features from the target’s original radar return, time-frequency analysis is used to estimate the target’s motion parameters. This proposed method is also an effective tool for detecting manoeuvring air targets in strong sea-clutter and is also applied to both simulated data and real world experimental data.
time-frequency analysis;short-time Fourier transform;Wigner-Ville distribution;Fourier Bessel transform;fractional Fourier transform
Report Number
DRDC-RDDC-2014-P46 — External Literature
Date of publication
16 Oct 2014
Number of Pages
Electronic Document(PDF)

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