文献类型：期刊文献

中文题名：数据关联算法性能评估的一种方法

英文题名：A Method to Evaluate the Performance of Data Association Algorithms

作者：叶西宁[1];顾幸生[1];潘泉[2]

机构：[1]华东理工大学信息工程学院,上海200237;[2]西北工业大学自动化学院,陕西西安710072

年份：2006

卷号：31

期号：5

起止页码：4

中文期刊名：火力与指挥控制

外文期刊名：Fire Control & Command Control

收录：CSTPCD;;北大核心:【北大核心2004】；CSCD:【CSCD_E2011_2012】；

基金：国家自然科学基金资助项目(60172037)

语种：中文

中文关键词：数据关联;性能评估;关联概率

外文关键词：data association, performance evaluation, correlation probability

摘要：数据关联算法性能的优劣直接影响跟踪系统的性能。因此在给出一种算法后,必须对该算法的性能进行评估,全面地了解该算法的优点以及缺点。以一种多目标数据关联算法为例,给出对数据关联算法的性能进行评估的一种仿真设计方法,包括设计思想及具体实现,并给出对该数据关联算法的评估结果。该方法同样适用于对多目标跟踪算法的性能进行评估。
The performance of a data association algorithm will directly determine the tracking effect in multi-target tracking. So when an algorithm is put forward, we must evaluate the performance of the algorithm by some way in order to find out the merits and defects of the algorithm. Firstly, this paper describes a new data association algorithm applying to multi-target tracking. And next, a simulation method applying to evaluate the performance of data association algorithms is given. Which include the design idea and implementation of the evaluating method. Finally, this paper gives the simulation results of the new data association algorithm by this method, This method can also be applicable to evaluate the performance of other algorithms in multi-target tracking.