基于改进粒子滤波的空间红外小目标跟踪方法

为有效跟踪空间红外小目标,常采用基于粒子滤波的检测跟踪算法。粒子滤波中,防止粒子退化的两个关键因素是选择合理的建议分布和重采样算法。在对重采样算法研究的基础上,提出了以有效粒子数作为阈值进行模型切换,分别利用残差重采样和系统重采样的优势,将两种采样模型有机结合,从而得到一种自适应的残差系统重采样（RSR）算法。实验结果表明,所提出的改进重采样算法在时间和跟踪精度上均优于经典重采样算法,有效地提高了空间红外小目标跟踪的效率和稳定性。

Tracking method of space IR small target based on improved particle filter

For tracking the infrared small target in the space effectively,particle filter method is often used.In particle filtering,the two key issues are the choosing of proper proposal distribution and resampling for avoiding particles degradation.An adaptive residual and system resampling(RSR) algorithm is proposed in this paper,which regarded effective particle number as the threshold to switch the resampling model.This method uses the advantages of residual resampling and system resampling and the two sample mo...