基于UPF的小目标检测前跟踪算法

Small target track-before-detect algorithm based on unscented particle filtering

为提高对复杂环境下小目标的联合检测和跟踪性能,提出了一种基于粒子滤波的小目标先跟踪后检测(TBD)算法。通过粒子滤波对小目标的运动状态和出现状态进行联合采样,并采用Unscented粒子滤波(UPF)方法对TBD算法进行了具体实现。新算法真正将跟踪思想引入到目标检测中去,对小目标的联合检测与跟踪具有灵敏度高,捕获概率和跟踪性能高,对采样粒子数要求低等优点,能有效增强红外搜索与跟踪系统的"边检测边跟踪"能力。

In order to improve the joint detecting and tracking ability for small targets under complex environments, the authors presented a new Track-Before-Detect （TBD） algorithm based on particle filter. Unscented Particle Filter （UPF） method was adopted and the motion status and appearance status were jointly scanned in the particle filter. The new algorithm essentially introduces tracking idea into target detecting. It has the merits of high-sensitivity, high acquisition probability, good tracking performance and low requirement on sample particle number. The algorithm can effectively enhance the tracking- while-detecting ability of infrared searching and tracking system.