多传感器航迹融合综述

Journal of Systems Engineering and Electronics ›› 2009, Vol. 31 ›› Issue (2): 245-250.

• 电子技术 • 下一篇

多传感器航迹融合综述

乔向东¹, 李涛²

1. 空军工程大学电讯工程学院, 陕西, 西安, 710077;
2. 中国电子科技集团28研究所, 江苏, 南京, 210007

收稿日期:2007-12-25 修回日期:2008-04-07 出版日期:2009-02-20 发布日期:2010-01-03
作者简介:乔向东(1970- ),男,副教授,博士,主要研究方向为多传感器数据融合,多目标跟踪.E-mail:qxdcm@sina.com
基金资助:
国家自然科学基金资助课题(60774091)

Survey of multi-sensor track fusion

QIAO Xiang-dong¹, Li Tao²

1. The Telecommunication Inst., Air Force Engineering Univ., Xi'an 710077, China;
2. The 28th Research Inst., China Electronics Technology Corporation, Nanjing 210007, China

Received:2007-12-25 Revised:2008-04-07 Online:2009-02-20 Published:2010-01-03

摘要/Abstract

摘要： 多传感器航迹融合较之量测融合有着诸多优势,也是信息融合领域发展最快的方向之一.论述了航迹融合理论的发展,详细讨论了航迹融合中的互相关性以及包括简单协方差凸组合、互协方差组合、信息矩阵、协方差交及基于最优线性无偏估计在内的主流融合算法,并给出了相关仿真实验结果;最后,针对当前该方向的研究现状,特别是有关混合多模型状态估计的融合问题,提出了我们的一些认识.

Abstract: Multi-sensor track fusion has many advantages over measurement fusion and is also one of the most developed branches of the information fusion field.Various mainstream track fusion algorithms,including covariance convex algorithm,Bar-Shalom Campo algorithm,information matrix algorithm,covariance intersection algorithm and best linear unbiased estimation algorithm,are investigated in detail,and some simulation results about them are given.In view of current research situation,some problems about the fusion of hybrid multiple model state estimation are put forward,and related proposals are given.

中图分类号:

TP212

乔向东, 李涛. 多传感器航迹融合综述[J]. Journal of Systems Engineering and Electronics, 2009, 31(2): 245-250.

QIAO Xiang-dong, Li Tao. Survey of multi-sensor track fusion[J]. Journal of Systems Engineering and Electronics, 2009, 31(2): 245-250.

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多传感器航迹融合综述

Survey of multi-sensor track fusion

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