Analysis of calibration performance of networked sensors using measurement graphs

被引：0

作者：

Ito, Kenichi ^{[1
]}

Hontani, Hidekata ^{[1
]}

机构：

[1] Nagoya Inst Technol, Dept Comp Sci & Engn, Nagoya, Aichi, Japan

来源：

2006 SICE-ICASE INTERNATIONAL JOINT CONFERENCE, VOLS 1-13 | 2006年

关键词：

networked sensors; calibration; maximum likelihood estimation; measurement graph;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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 indeterminancies, we need some standards. Incorporating one sensor that is calibrated in advance into the network sensors, then, we can uniquely calibrate them. If the incorporated sensor and another sensor measure a same object, then we can take useful information for calibrating the latter sensor by comparing the two measurements of the object. The information is, though, incomplete because of measurement noise. In this article, the relationship between the accuracy of calibration and the structure of the network of sensors are analyzed. For this analysis, we describe the structure with a measurement graph.

引用

页码：5682 / +

页数：2