Presentation 2007-05-24
Analysis of Calibration Performance of Networked Sensors Using Measurements Graphs
Kenichi ITO, Kentaro NAKAGAWA, Hidekata HONTANI,
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Abstract(in English) In this article, we analyze the relationship between the accuracy of calibration of networked sensors and the structure of the network. Networked sensors can be calibrated by maximizing a likelihood of given measured data. Though, the calibrated values can contain indeterminacies and have some degrees of freedom. For removing this indeterminacies, we need some standards. Incorporating one sensor that is calibrated in advance into the networked sensors, then, we can uniquely calibrate them. If the incorporated sensor and another sensor measure a same object. The information is, though, incomplete because of measurement noise. In this article, the relationships between the accuracy of calibration and the structure of the network of sensors are analyzed. For this analysis, we describe the structure using the a measurement graph.
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Keyword(in English) Networked Sensors / Calibration / Maximum Likelihood Estimation / measurement Graph / spread of error margin
Paper # PRMU2007-13,MI2007-13
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Conference Information
Committee PRMU
Conference Date 2007/5/17(1days)
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Paper Information
Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Analysis of Calibration Performance of Networked Sensors Using Measurements Graphs
Sub Title (in English)
Keyword(1) Networked Sensors
Keyword(2) Calibration
Keyword(3) Maximum Likelihood Estimation
Keyword(4) measurement Graph
Keyword(5) spread of error margin
1st Author's Name Kenichi ITO
1st Author's Affiliation Nagoya Institute of Technology()
2nd Author's Name Kentaro NAKAGAWA
2nd Author's Affiliation FUJI MACHINERY CO., LTD.
3rd Author's Name Hidekata HONTANI
3rd Author's Affiliation Nagoya Institute of Technology
Date 2007-05-24
Paper # PRMU2007-13,MI2007-13
Volume (vol) vol.107
Number (no) 57
Page pp.pp.-
#Pages 6
Date of Issue