PDAF based on CFAR performance comparative research in tracking dim point moving target technology
Wang Baozhu · Computer Engineering and Applications Journal · 2009
PDAF and PDAF-AI are widely used in radar targets detection and tracking dim point moving target,the difference is what PDAF-AI algorithm add target’s amplitude information on the basis of target’s position,the moving speed to predict the state of next frame using Kalman filter.This technology has changed the shortcoming of traditional PDAF algorithm which neglects the amplitude information of the target.It should be better tracking performance than PDAF,the paper comparative analysis and research two methods of tracking performance:Probability Data Associating Filiter with the Amplitude Information(PDAF-AI) is better than traditional PDAF algorithm in real -time tracking performance on the whole.However,in certain circumstances the tracking performance of PDAF-AI will declined gradually.