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Journal of Projectiles, Rockets, Missiles and Guidance >

2012 , Vol. 32 >Issue 1: 171 - 174

DOI: https://doi.org/10.15892/j.cnki.djzdxb.2012.01.010

CORRELATION TECHNOLOGY

Novel Data Fusion Algorithm for Multi-sensor Delay-control System

  • XIONG Yanming ,
  • LI Shiling ,
  • LI Jun ,
  • YANG Zhanping
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  • Institute of Electronic Engineering, China Academy of Engineering Physics, Sichuan Mianyang 621900, China

Received date: 2011-04-06

  Online published: 2025-05-29

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Abstract

A novel adaptive weighted fusion method was proposed for multi-sensor delay-control system. No prior information of distribution was needed; the threshold value and the weight assignment were decided adaptively according to the relationship among the measured data, by which the subjective factors in setting experiential threshold value were avoided. Numerical examples show that the proposed method takes on strong robustness and good real-time performance, and it has theoretical and practical significance.

Key words： multi-sensor delay-control system; data fusion; weight assignment; real-time performance; robustness

Cite this article

XIONG Yanming , LI Shiling , LI Jun , YANG Zhanping . Novel Data Fusion Algorithm for Multi-sensor Delay-control System[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2012 , 32(1) : 171 -174 . DOI: 10.15892/j.cnki.djzdxb.2012.01.010

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References

[1]
Qi HR, Iyengar SS, Chakrabarty K. Distributed sensor network: A review of recent research[J]. Journal of the Franklin Institute, 2001, 338 (6): 655- 668.
[2]
John MR. Fusion of multi-sensor data[J]. Journal of Robotics Research, 1998, 7 (6): 78- 96.
[3]
吴小俊, 曹奇英, 陈保香. 基于Bayes 估计的多传感器数据融合方法研究[J]. 系统工程理论与实践, 2000 (7): 46- 49.
[4]
Odeberg H. Distance measure for sensor opinions[J]. Measurement science and technology, 1993, 4 (8): 808- 815.
[5]
Wang JH, Gao Y. Multi-sensor data fusion for land vehicle attitude estimation using fuzzy expert system[J]. Data Science Journal, 2005 (4): 127- 139.
[6]
刘建书, 李人厚, 常宏,等. 基于相关性函数和最小二乘的多传感器数据融合[J]. 控制与决策, 2006 (6): 715- 718.
[7]
胡振涛, 刘先省. 基于相对距离的一种多传感器数据融合方法[J]. 系统工程与电子技术, 2006 (2): 42- 44.
[8]
韩峰, 杨万海, 袁晓光. 基于相关性函数和模糊贴近度的多传感器数据融合[J]. 弹箭与制导学报, 2009, 29 (4): 227- 229.
[9]
Chung ACS, Shen HC. Integrating dependent sensory data[C]// Proceeding of 1998 IEEE Inter. Conf. on Robotics and Automation, 1998: 3546- 3551.
[10]
Xu LJ, LiXM, Dong F. Optimum estimation of the mean flow velocity for the multi-electrode inductance flowmeter[J]. Means Science Technology, 2001, 12 (6): 1139- 1146.
[11]
王华, 邓军, 王连华,等. 改进的一致性数据融合算法及其应用[J]. 中国矿业大学学报, 2009, 38 (4): 590- 594.
[12]
陈忠德, 蒋静坪. 一致性多传感器数据融合方法的改进[J]. 传感器技术, 1995 (5): 52- 55.
[13]
凌林本, 李滋刚, 陈超英,等. 多传感器数据融合时权的最优分配原则[J]. 中国惯性技术学报, 2000, 8 (2): 36- 39.
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