Separation of nonstationary signals using Fourier Bessel, fractional Fourier and time-frequency analysis

This paper presents new approach for detecting a maneuvering target from strong sea clutter environment, which is based on a combination of Fourier Bessel transform, fractional Fourier transform and time-frequency based method. In order to detect a maneuvering target from radar signal returns, the time domain radar signal is decomposed into stationary and non-stationary components using Fourier Bessel transform. The components are then reconstructed by applying both the fractional Fourier transform and the inverse Fourier Bessel transform. This proposed approach is applied to both simulated data and measured data. Results demonstrate the effectiveness of the proposed method for detecting maneuvering target in a heavy sea clutter.