Application of Fourier Bessel transform and time-frequency based method for extracting rotating and maneuvering targets in clutter environment


  1. Thayaparan, T.
  2. Suresh, P.
Corporate Authors
Defence R&D Canada - Ottawa, Ottawa ONT (CAN)
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 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. Results demonstrate the effectiveness of the proposed method in extracting m-D radar signatures of rotating targets. Its potential as a tool for detecting, enhancing low observable manoeuvring and accelerating air targets in littoral environments is demonstrated.

Il y a un résumé en français ici.

micro-doppler;fourier bessel transform;fractional fourier transform;time-frequency analysis;high-frequency surface-wave radar;SAR
Report Number
DRDC-OTTAWA-TM-2013-153 — Technical Memorandum
Date of publication
01 Aug 2014
Number of Pages
Electronic Document(PDF)

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