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Colorimetric temperature measurement algorithm based on real-time adaptive weighted factor

机译：基于实时自适应加权因子的比色温度测量算法

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Wavelength and other factors have a deep influence on temperature measurement system based on CCD image sensor. Deviations between measurement values sometimes are large. In order to reduce error, the temperature outputs in different wavelength combinations do have multi-sensor correlation properties in point of colorimetric temperature measurement system view. The colorimetric temperature measurement algorithm based on real-time adaptive weighted is put forward by such performance index that minimum of standard deviation. According to measured value of each sensor, we will find out the corresponding weights in adaptive manner. And discuss the statistical properties of the estimated standard deviation. Estimation unbiasedness is proved. The algorithm has the following advantages. A much smaller amount of calculation, without any a priori knowledge, only relying on the output of each sensor. All of these make temperature estimation be optimal, measurement accuracy and the real-time performance of the system are improved. Theoretical analysis and experimental results show that the colorimetric temperature measurement algorithm based on the real-time adaptive weighted improves obviously when comparing with the traditional means algorithm in measurement accuracy.
机译：波长和其他因素对基于CCD图像传感器的温度测量系统具有深厚的影响。测量值之间的偏差有时很大。为了降低误差，不同波长组合中的温度输出确实在比色温度测量系统视图点中具有多传感器相关性能。基于实时自适应加权的比色温度测量算法通过这种性能指标提出，即最小标准偏差。根据每个传感器的测量值，我们将以自适应方式发现相应的权重。并讨论估计标准差的统计特性。估计证明了无偏见。该算法具有以下优点。无需任何先验知识的计算计算得多，只依赖于每个传感器的输出。所有这些使温度估计都是最佳的，测量精度，并且系统的实时性能得到改善。理论分析和实验结果表明，与测量精度的传统方式算法比较时，基于实时自适应加权的比色温度测量算法在比较时显而易患。

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