Autofocus image reconstruction from Barcer's phase code modulated ISAR signals

In the present paper the model of inverse synthetic aperture radar (ISAR) signal with Barcer's code phase modulation is developed. To cope with the image blurring due to the range migration of object's point scatterers an autofocusing technique for ISAR signal processing is performed. Correlation algorithm for range compression and spectral fast Fourier transform for azimuth compression are exploited. The presented image reconstruction procedures are invariant to the object's trajectory parameters. Numerical experiment over the simulated ISAR data is also accomplished.