Ground slow-moving target adaptive processing for Airborne Radar

Airborne fire-control radar is mainly equipped with forward looking antenna, which is characterized by high flight velocity, short wavelength and low PRF. Consequently, on one hand, ground clutter of airborne fire-control radar is non-homogeneous in range and multi-ambiguous in Doppler frequency; on the other hand, Doppler frequency spectrum of the clutter varies quickly with the cone angle and the bandwidth of the mainlobe is much spread. We focus on the features of the clutter and the ground slow-moving target for airborne fire-control radar at first Then it is pointed out that the mainlobe clutter is the most important factor which influences the detection performance. Finally, an adaptive processing algorithm, which is named FS-AMTI, is presented based on the frequency shift of the center of mainlobe clutter by adopting segmentation strategy. Experimental results with real data illustrate the good detection performance for slow-moving target of the proposed algorithm.