关键词: 恒虚警率, Kalman滤波器, PDAF-AI, 点目标跟踪

Abstract: 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.

Key words: Constant False Alarm Rate（CFAR）, Kalman filter, Probability Data Associating Filiter with the Amplitude Information（PDAF-AI）, point target tracking