西安电子科技大学学报 ›› 2020, Vol. 47 ›› Issue (1): 111-119.doi: 10.19665/j.issn1001-2400.2020.01.016

• • 上一篇    下一篇

一种新的航迹融合算法精度评价指标

李月武,胡建旺(),吉兵   

  1. 陆军工程大学 电子与光学工程系,河北 石家庄050000
  • 收稿日期:2019-08-30 出版日期:2020-02-20 发布日期:2020-03-19
  • 通讯作者: 胡建旺
  • 作者简介:李月武(1995—),男,陆军工程大学硕士研究生,E-mail:1315207100@qq.com
  • 基金资助:
    河北省自然科学基金(F2017506006)

New index for evaluation of the accuracy of the track fusion algorithm

LI Yuewu,HU Jianwang(),JI Bing   

  1. Department of Electronic and Optical Engineering, Army Engineering University, Shijiazhuang 050000, China
  • Received:2019-08-30 Online:2020-02-20 Published:2020-03-19
  • Contact: Jianwang HU

摘要:

针对航迹融合算法精度评价问题,提出一种新的评价指标。该指标以最佳基数线性分配度量标准为基础,使用Hellinger距离代替该度量标准中距离误差部分的欧氏距离,从而考虑了状态的误差协方差;去掉了其截止距离,使截止参数仅起到调节距离误差和势误差之间权重的作用;在势误差部分添加一个变量,可以根据所需进行设置,从而实现指标是否考虑势误差的功能。仿真实验表明,新指标不仅可以正确评价融合精度,同时考虑了状态的不确定度和势误差,可以更敏感地评价融合算法的优劣,并且可以在融合误差期望值未知时有效评价融合精度。

关键词: 航迹融合, 评价指标, 最佳基数线性分配度量标准, Hellinger距离

Abstract:

Aiming at the problem of evaluation of the accuracy of track fusion algorithms, a new evaluation index is proposed. The index is based on the cardinalized optimal linear assignment metric. The Hellinger distance is used to replace the Euclidean distance of the distance error part of the metric, so that the error covariance of the state is considered and the cutoff distance is removed, making the cutoff parameter only play the role of adjusting the weight between the distance error and the cardinal error. A variable is added in the potential error part, and can be set according to the need so as to achieve the function of whether the index considers the cardinal error. Simulation experiments show that the new index can not only correctly evaluate the fusion precision, but also evaluate the pros and cons of the fusion algorithm more sensitively by considering the state uncertainty and cardinal error, and that it can effectively evaluate the fusion precision when the fusion error expectation is unknown.

Key words: track fusion, evaluation index, the cardinalized optimal linear assignment metric, Hellinger distance

中图分类号: 

  • TH701
Baidu
map