| 多项式回归在智能传感器线性化中的应用 |
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| 引用本文： | 杜西亮,孙慧明. 多项式回归在智能传感器线性化中的应用[J]. 传感技术学报, 2005, 18(1): 212-214 |
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| 作者姓名： | 杜西亮 孙慧明 |
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| 作者单位： | 黑龙江大学,集成电路重点实验室,哈尔滨,150080;黑龙江大学,集成电路重点实验室,哈尔滨,150080 |
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| 摘 要： | 利用最小二乘回归分析介绍多项式回归在智能传感器非线性补偿中的应用,提出了以传感器输入量作拟合多项式自变量和传感器输出量作拟合多项式自变量的两种补偿方法,并通过实例对这两种方法进行了分析和对比.
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| 关 键 词： | 传感器 多项式回归 线性化 标定 |
| 文章编号： | 1004-1699(2005)01-0212-03 |
| 修稿时间： | 2004-08-04 |
Application of Polynomial Regression in the Smart Sensor Linearization |
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| DU Xiliang,SUN Huiming. Application of Polynomial Regression in the Smart Sensor Linearization[J]. Journal of Transduction Technology, 2005, 18(1): 212-214 |
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| Authors: | DU Xiliang SUN Huiming |
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| Affiliation: | Key laboratory of integrated circuit , Heilongjiang Univ. Harbin 150080 , China |
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| Abstract: | The application of polynomial regression in the smart sensor nonlinearity compensation was introduced by making use of least-squares polynomial regression analysis. The two kinds of compensation method were put forward. One is the quantity to be measured as the independent variable of fitting polynomial; the other is the sensor's response as the independent variable of fitting polynomial. Two kinds of compensation method is analyzed and contrasted by a practical example. |
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| Keywords: | sensor polynomial regression linearization calibration |
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