Detection of ground slow-moving targets in airborne fire-control radar using adaptive processing

In the ground slow-moving target detection of airborne fire- control radar, the clutter spectrum varies with range due to the variation of elevation angle and shows high nonhomogeneity. In this case, good detective performance can not be obtained by using conventional method. In this paper, a new method based on "filter-then-adapt" is proposed for single channel airborne radar. The new method can weaken the nonhomogeneity and suppress the clutter returns adaptively. Experimental results with real data illustrate the good detection performance of the proposed algorithm for ground slow-moving target.