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如果您查看E4419B的功率计数据表,则声明的绝对精度为+/- 0.02dB。
规范还规定,如果超过传感器的某个功率水平,则需要添加线性偏差。 根据我所做的许多读数,似乎如果你保持低于那个功率水平,那么你可以假设传感器的线性偏差可以忽略不计。 也许这是一个错误的结论。 当我使用安捷伦的不确定度计算器时,我对如何解释结果感到有些困惑。 在我考虑了传感器选择后,如果我保持在最佳线性度范围内,我最终会看到不确定性水平如下:ULU:+ 0.075dB LLU:-0.076dB似乎永远无法击中+ / 如果不确定性大得多,则为-0.02dB规格。 我在这里想念的是什么? 以上来自于谷歌翻译 以下为原文 If you look at the E4419B's power meter data sheet there is a declared absolute accuracy of +/-0.02dB. The spec also states that you need to add in the linearity deviation if you exceed a certain power level to the sensor. Based on many readings I have done, it seems that if you stay below that power level then you can assume that sensor linearity deviation is fairly negligible. Perhaps this is a wrong conclusion. When I use Agilent's uncertainty calculator I am somewhat confused in how to interpret the results. After I factor in the sensor choice, and provided I stay within the best linearity range, I end up seeing uncertainty levels as follows: ULU: +0.075dB LLU: -0.076dB It seems that one would never be able to hit the +/-0.02dB spec if the uncertainty is so much greater. What am I missing here? |
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嘿 - 我假设0.02 dB是仪表本身的误差。
该数字未考虑传感器的校准因子的不确定性,传感器的不匹配/ VSWR误差,仪表参考输出的误差以及传感器与传感器之间的不匹配。 我猜安捷伦的计算器也完全符合这一要求。 你可能会看到另外1.5%然后在0.02 dB之上。 如果我在那里错了,希望有人可以纠正我并教育我们两个。 以上来自于谷歌翻译 以下为原文 Hey - I'm assuming the 0.02 dB is the error of the meter itself. That number does not take into account the uncertainty of the sensor's cal factor, or mismatch/VSWR errors of the sensor, error of your meter reference output and mismatch between that and the sensor as well. I'm guessing Agilent's calculator tallies all that up as well. You're looking at probably another 1.5% then on top of the 0.02 dB. if I'm wrong there, hopefully someone can correct me and educate us both. |
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60user115 发表于 2019-2-14 06:32 在我们的实验室中,我们将该因子视为功率计本身的线性误差 以上来自于谷歌翻译 以下为原文 At our lab we treat that factor as the linearity error of the power meter itself |
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