Multiple target tracking using products of position measurements
Multiple target tracking using products of position measurements
复制标题
DOI：
10.1109/7.210085
复制
发表时间：
1993-04
影响因子：
4.4
通讯作者：
E. Kamen;C. Sastry
中科院分区：
文献类型：
--
作者：
E. Kamen;C. Sastry
考虑了用于多目标跟踪（MTT）中航迹保持的对称测量方程（SME）滤波器的继续发展，重点研究了通过形成原始位置测量的乘积和来生成SMEs的情况。针对N个目标的运动由等速轨迹的随机扰动组成的情况，提出了SME滤波器。假设x坐标位置的测量是可用的，并且测量的次数等于目标的数量。研究了SME过滤器的各种分析性能。在一个很弱的条件下，估计误差方程是局部指数稳定的。通过将SME滤波器与最优（最小方差）估计器进行比较，并在六目标情况下生成计算机模拟，研究了SME滤波器的性能。>
The continued development of the symmetric measurement equation (SME) filter for track maintenance in multiple target tracking (MTT) is considered, focusing on the case in which the SMEs are generated by forming sums of products of the original position measurements. The SME filter is developed for the case of N targets whose motions consist of random perturbations about constant-velocity trajectories. It is assumed that measurements of x-coordinate positions are available, and that the number of measurements is equal to the number of targets. Various analytical properties of the SME filter are studied. It is shown that under a very weak condition, the estimation error equation is locally exponentially stable. The performance of the SME filter is investigated by comparing it with an optimal (minimum-variance) estimator and by generating a computer simulation in the six-target case. >