期刊文献+

基于卡尔曼滤波的多温度传感器数据融合系统 预览 被引量:5

Data Fusion System of Multi Temperature Sensor Based on Kalman Filter
在线阅读 免费下载
收藏 分享 导出
摘要 设计了一种基于卡尔曼滤波的多温度传感器数据融合系统,其中采用多个温度18B20单总线数字传感器对同一点温度实施监测,对采样结果采用卡尔曼滤波数据融合算法计算得到温度估计值。实测数据仿真分析表明,卡尔曼滤波数据融合算法具有较高的计算精度和容错性,能够明显改善温度估计精度,显著提高测温系统的可信度,并具有实时融合的动态性能。 The design based on kalman filter constructed a multiple temperature sensor data fusion system,it achieved the temperature monitor of the same point ti adopt many temperature 18B20 single bus digital sensors,and the kalman filter data fusion algorithm was used to calculate estimated temperature value for results.The measured data simulation analysis shows that kalman filter data fusion algorithm has high precision and fault tolerance,it can obviously improve the estimated precision of temperature,significantly improve the reliability of temperature measure system,and have real-time and dynamic performance of fusion.
作者 卢胜利 刘美玲 田彦彦 Lu Shengli,Liu Meiling,Tian Yanyan(Tianjin Key Laboratory of Information Sensing and Intelligent Control under School of Automation and Electronic Engineering,Tianjin University of Technology and Education,Tianjin 300222,China)
出处 《现代科学仪器》 2013年第1期65-68,共4页 Modern Scientific Instruments
基金 天津职业技术师范大学科研项目(KJYB11-2)
关键词 温度测量 多传感器系统 卡尔曼滤波 数据融合算法 Temperature measurement Multi-sensor system Kalman filter Data fusion algorithm
  • 相关文献

参考文献6

  • 1杨露菁, 余华..多源信息融合理论与应用[M],2006.
  • 2杨万海..多传感器数据融合及其应用[M],2004.
  • 3李光.卡尔曼虑波器在角位移检测系统的应用.仪器仪表学报,2007-6-20(3). 被引量:1
  • 4Joseph J, LaViolaJr. A comparison o f unscented and extended Kalman filtering for estimating quaternion mot ion [ C] / / Pro ceedings of t he 2006 American Control Conference, IEEE Press, 2435 -2440, June 2006. 被引量:1
  • 5Hao YL, Xiong ZL, Sun F, et al. Comparison of Unscented Kalman Filters [ C] / / Proc.of Int. Conference on Mechatronics and Automation. H arbin: IEEE Press., 2007:895-899. 被引量:1
  • 6柴毅,屈剑锋.无线电子鼻测量系统设计与实现[J].现代科学仪器,2009(1):19-23. 被引量:2

二级参考文献6

  • 1Pan, L. L. ; Liu, R. ; Peng, S, H. ; Yang, S. X. ; Gregori, S. Real - time Monitoring System for Odours around Livestock Farms. Proceedings of the 2007 IEEE International Conference on Networking, Sensing and Control, London, 2007. 被引量:1
  • 2Szczurek, A. ; Maeiejewska, M. Relationship between odor intensity assessed by human assessor and TGS sensor array response. Sensors and Actuators B: Chemical, 2005, 1, 13-19. 被引量:1
  • 3Wang, N. ; Wang, M.H. ; Zhang, N.Q. Wireless sensors in agriculture and food industry - recent development and future perspective. Computers and Electronics in Agriculture, 2006, 1, 1 - 14. 被引量:1
  • 4Leleux, D.P. ; Claps, R. ; Chen, W. ; Tittel, F. K. ; Harman, T. L. Applications of Kalman filtering to real - time trace gas concentration measurements. Applied Physics B : Lasers and Optics, 2002, 74, 85 - 93. 被引量:1
  • 5Wang, L. ; Su, S. W. ; Celler, B. G. ; Savkin, A.V. Modeling of a Gas Concentration Measurement System. Proceedings of the 27th Annual International Conference of the IEEE EMBS, Shanghai, 2005, 6695 -6698 被引量:1
  • 6Gao, D. Q. ; Chen, W. Simultaneous estimation of odor classes and concentrations using an electronic nose with function approximation model ensembles. Sensors and actuators. 2007, 2 , 584 - 594. 被引量:1

共引文献1

同被引文献45

引证文献5

二级引证文献6

投稿分析
职称考试

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部 意见反馈