一种用于三维空间杂波环境机动目标跟踪的数据互联方法

目标跟踪过程中运动模型不准会导致预测中心不准，而预测中心不准会导致错误关联。为解决三维空间杂波环境下机动目标跟踪过程中数据互联问题，在数据关联时假定目标转弯率在一定范围内变化并且转弯方向是任意的，这样，预测中心为三维空间中的一曲面。在计算测量与目标间的关联度时，依据的是测量点距该曲面的距离。为了减少数据互联的计算量，该文提出了与特定测量相匹配的转弯率和转弯方向的计算方法。仿真实验表明，杂波环境下对机动目标跟踪时，采用该文方法提高了数据正确关联率，降低了航迹丢失率，同时提高了状态估计的精度。

A Data Association Method for Maneuvering Target Tracking in Three-Dimensional Space under the Circumstance of Clutter

In maneuvering track tracking, the inaccurateness of the moving model leads to that of the forecasting center, which causes error data association. To solve the problem of data association for maneuvering target tracking in three-dimensional space under the circumstance of clutter, an assume that the current turn rate of a maneuvering target changes within a limited range and its turn may be in arbitrary direction is proposed for data association, thus the forecasting center of a target is a curved surface in 3-D space. The distance between a measurement and the curved surface is used to compute the degree of association between the measurement and the target. In order to reduce the computational complexity, the computing formula of the maneuvering direction and turn rate corresponding to a special measurement is presented. Simulation results show the proposed method improves the correctness of data association, reduces the percentage of lost tracks and improves the state estimating accuracy in tracking a maneuvering target under the circumstance of clutter.