基于RF5的红外弱小目标跟踪系统的实时性改进方法

The real-time improvment method for the infrared small dim target's tracking system based on RF5

利用基于粒子滤波的检测前跟踪算法对红外弱小目标进行检测跟踪时,由于算法的复杂性以及所处理数据量大等原因,使得该系统不能满足实时性的要求。针对这一问题,提出了在RF5框架下实现基于粒子滤波的检测前跟踪算法的改进方案,并成功地在DM642上实现了该算法。实验结果表明,与传统的单线程方式相比,系统的实时性得到了很大提高,可以满足系统实时性的要求。

When the track-before-detect （TBD） algorithm based on particle filtering （PF） is utilized to detect and track the infrared small dim target, the system can not meet the real-time requirement because of complexity of the algorithm and a large amount of data needed to be processed .An improved TBD algorithm based on particle filtering under the frame of RF5 is proposed to solve the problem.Furthermore, the algorithm is successfully implemented on DM642.Simulation results show that the real-time of the system is greatly improved in comparison with the tradi-tional single-thread way, which basically meets the real-time requirement.