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传感器动态误差的修正方法 被引量:1

The ways of amending dynamic error by using sensors
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摘要 在过去有关动态误差的文章中,由于数学上的困难,一般仅对系统误差加以修正。本文简述了动态测试中测试数据所包含的各种误差,以及分别采用哪些方法对动态误差中的粗大误差、随机误差和系统误差进行修正。 The former articles with relation to dynamic error generally amend system error due to the mathematic difficulty. This article outlines all kinds of error of dynamic determine in determing data and use some ways to amend thick error, random error and system error of dynamic error.
出处 《黑龙江大学自然科学学报》 CAS 2003年第1期67-70,共4页 Journal of Natural Science of Heilongjiang University
基金 教育部高等学校博士学科点专项科研基金资助项目(20010141006)
关键词 动态误差 系统误差 粗大误差 随机误差 dynamic error system error thick error random error
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  • 2杨小军,潘泉,梁彦,温苗利.基于粒子滤波和检测信息的多传感器融合跟踪[J].信息与控制,2005,34(3):356-359. 被引量:3
  • 3李战明,陈若珠,张保梅.同类多传感器自适应加权估计的数据级融合算法研究[J].兰州理工大学学报,2006,32(4):78-82. 被引量:32
  • 4王炯琦,周海银,吴翊.基于最优估计的数据融合理论[J].应用数学,2007,20(2):392-399. 被引量:22
  • 5Kroger T, Wahl F M. Multi-sensor integration and sensor fusion in industrial manipulation: Hybrid switched control, trajectory generation, and software development[ Cl//Proceedings of 1EEE international Conference on Multi-sensor Fusion and Integration for Intelligent Systems. Piscat- away, NJ, USA: IEEE, 2008:411-418.
  • 6Okatan A, Hajiyev C, Hajiyeva U. Fauh detection in sensor information fusion Kalman filter[ J]. International Journal of Electronics and Com munieations, 2009, 63(9): 762-768.
  • 7Bath W G, Boswell C M, Sommerer S, et al. Detection systems information fusion[J]. Johns Hopkins APL Technical Digest, 2005, 26 (4) 306 - 313.
  • 8Sung W T, Tsai M H. Multi-sensor wireless signal aggregation for environmental monitoring system via multi-bit data fusion [J]. Applied Math- ematics & Information Sciences, 2011, 5 ( 3 ) : 589 - 603.
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  • 10Smaili C, E1 Najjar M E, Charpillet F. Multi-sensor fusion method using dynamic Bayesian network for precise vehicle localization and road matching[ C ]//Proceedings of the 19th IEEE International Conference on Tools with Artificial Intelligence. Piscataway, N J, USA: IEEE, 2007 : 146 - 151.

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