杂波环境下强机动目标自适应关联波门选择

ADAPATIVE CORRELATION GATE SELECTION ALGORITHM FOR STRONG MANEUVERING TARGET IN CLUTTER ENVIRONMENT

杂波环境下强机动目标的跟踪容易出现失跟和精度不高等问题,关联波门对量测信息进行有效处理,是提高跟踪精度的重要环节。提出一种自适应关联波门选择算法,在分析目标跟踪不确定度的基础上估计目标的机动状态,作为关联波门的选择依据。该算法不但考虑了波门形状与目标机动状态的匹配度,也考虑了对门限参数的动态调整。仿真实验结果表明,该算法相比固定关联波门及传统关联波门自适应算法,对杂波环境下强机动目标跟踪具有更低的失跟率与更高的跟踪精度。

Tracking lost and low accuracy often occur in strong maneuvering target tracking in clutter environment.It is an important link to improve the tracking accuracy to process the measurement information effectively by the correlation wave gate.This paper proposes an adaptive correlation gate selection algorithm.The target maneuvering state could be predicted based on the analysis of uncertainty of target tracking,which was the basis for the selection of the correlation wave gate.It not only considered the matching degree between the wave gate shape and the target maneuvering state,but also took the dynamic adjustment of gate parameters into account.The simulation results show that compared with the fixed correlation gate and traditional correlation adaptive adjustment algorithm,our algorithm has a lower tracking loss rate and higher tracking accuracy for the strong maneuvering target tracking in the clutter environment.