Classification of Radar Clutter using the Maximum-Entropy Method

In this paper, we demonstrate the usefulness of the maximum- entropy method in analysing the spectral (Doppler) content of clutter as encountered in a radar surveillance environment. Experimental results (based on recorded radar data) are included which show that it is indeed possible to extract Doppler-based features for deciding whether the clutter is due to reflections from the ground, weather disturbances, or migrating flocks of birds. In this way, it becomes possible to vector an aircraft around a hazardous (turbulent) area, and thereby avoid the possibility of danger to the safety of the aircraft.