中文摘要：

在复杂背景下,为提高微弱点动目标跟踪系统的抗干扰能力,从不同信噪比的多红外图像序列出发,基于新的融合跟踪结构（增加局部处理器）,提出了一种模糊逻辑的多源信息测量融合跟踪算法：各局部处理器对原始测量进行恒虚警和自适应检测,将判决后的测量送入融合中心,融合中心对测量作模糊逻辑判决融合,转化为虚拟单序列测量,采用PDA卡尔曼滤波算法跟踪。实验结果分析表明,该融合跟踪算法与单序列相比,具有较高的跟踪精度、稳定性,避免了单图像序列跟丢。

英文摘要：

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.