Extracting Micro-Doppler Radar Signatures From Rotating Targets Using Fourier-Bessel Transform and Time-Frequency Analysis

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 timefrequency 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. Index Terms DRDC-RDDC-2014-P46