Target Detection In Clutter For Airborne PD Radar

Pulsed Doppler radar (PD radar) is a kind of advanced radar which using coherent processing. It provides an active field for development of radar techniques. This dissertation is based on the project "CFAR (constant false alarm rate) detection for airborne PD radar".In this dissertation,the clutter tracking technique based on image processing is introduced. We apply Local Entropy algorithm to the clutter tracking and detect clutter edge by local entropy filter. We also develop a new method to estimate fractal dimension from clutter surface for region segmentation. Regarding the different results of clutter tracking as the background information,we propose clutter feature (CF)-CFAR detector and structuring element (SE)-CFAR detector. Their detection performance proved to be better than the original CFAR detectors when we used tracking technique to pre-process clutter.In the end,conclusion and possible future work are explained.