Abstract:

The clutter spectrum depends highly on range in squint airborne which results in heterogeneous ground clutter. According to the clutter model, a novel method on compensation of clutter spectrum is proposed. The method starts by transforms clutter returns from elementpulse domain into elementDoppler domain by Chirp z transform (CZT), which can improve the efficiency of spectrum samples, and has lower computational burden of spectrum analysis than that produced by discrete Fourier transform (DFT). And then a new spacetime data is produced by CZT. Following that, the spatial steering vector fitting method is used to process the new spacetime data that can eliminate the nonstationarity of the ground clutter and generate a sufficient data to construct covariance matrix for suppressing the ground clutter. Finally, the conventional space time adaptive processing (STAP) is applied to the clutter suppression. Simulation results verify the effectiveness of the proposed method