关键词: 多红外图像序列, 弱小目标, 测量融合, 概率数据关联滤波

Abstract: In order to improve anti-jamming of a dim moving point target tracking system under complex backgrounds, based on the new fusion tracking frame（add the local processor）, tracking algorithm which is multi-source measurements information fuzzy logic fusion is proposed in different signal-to-noise conditions： local processor judges the original measurements by CFAR and adaptive detection threshold, transmits the measurements to fusion center; measurements which are fused by the fuzzy logic method are transformed into single virtual?image sequence’s measurements; adopts PDA-Kalman algorithm to track target. Compared to the single sequence, experimental analysis and results show that the fusion tracking algorithm has high accuracy and good stability, avoids losing the single sequence track.

Key words: multi-Infrared（IR） image sequences, dim small target, measurements fusion, probabilistic data as associated filter