基于时变偏差分离估计的杂波下机动目标跟踪

在杂波环境机动目标跟踪问题中，波门位置和范围的确定是关键技术之一。在分析了时变偏差分离估计算法的有偏差的状态估计协方差基础上，提出了基于时变偏差分离估计(separate bias estimation, SBE)和概率数据关联(probabilistic data association, PDA)的新算法，利用了偏差估计和有偏差的状态估计协方差来确定波门位置和范围，并结合PDA处理多个回波的能力，实现杂波环境下机动目标的跟踪。通过仿真实验，说明了新算法的优势和有效性。

Maneuvering target tracking in clutter based on separate bias estimation

Tracking maneuvering target in clutter is considered. The determination of gate center and gate region has the decisive influence on the tracking performance in clutter. Based on separate estimation of time variant bias (SBE) and probabilistic data association (PDA) algorithm, a new method for tracking maneuvering target in clutter, separate bias estimation probabilistic data association (SBE_PDA), is presented. The bias estimation and state estimation covariance are used to confirm gate center and gate region. The simulations show that, for tracking maneuvering target in clutter, SBE_PDA is superior to strong tracking filter probabilistic data association (STF_PDA) by criterion of track lost ratio.