摘要
利用多传感器跟踪多目标技术中最重要的问题是目标关联问题。它包括两个方面：同一传感器２次扫描或多次扫描间各目标的关联以及多传感器各自的跟踪航迹之间的关联。在密集目标、高密度杂波和干扰条件下，解决此问题有建立数学模型和计算量方面的困难。常见的算法有ＪＰＤＡ和ＭＨＴ，其模型较准确但复杂，计算量大，实际运用中效果并不理想。本文改进文献［２］中的关联方法，提出一种简单且效果较好的方法，利用线性规划算法实现了一定条件下多目标的关联及跟踪，并进行了仿真和误差分析。
One of the most important problems that must be resolved in multitarget tracking with multisensor is the data association.It includes two folds:Associate each observation of every sensor with each target, named scan association; Associate the track with track formed by different sensors, track association.There exist some difficulties in obtaining the models and computing burden while tracking multitarget in a high density clutter environment. This paper presents an efficient method for tracking multitarget with multisensor, and the new method applied integer programming to associate the incoming measurements with established tracks.Theory analyses and Monte Carlo simulations show the potential of this algorithm.
出处
《系统工程与电子技术》
EI
CSCD
1997年第9期27-33,76,共8页
Systems Engineering and Electronics
