微波噪声参数测定精度的提高

M. Schmatz, H. Benedickter
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引用次数: 6

摘要

提出了一种从任意源反射的多次噪声系数测量中确定噪声参数的改进方法。通过对测量数据应用变换算法,大大降低了测量误差的影响。该方法不需要对噪声参数进行迭代估计。研究了随机测量误差与测量噪声系数和测量源反射系数相关的合成测量。结果表明,无论最佳噪声源反射系数的大小如何,用于噪声系数测量的噪声源反射系数的大小都应小于0.8。该方法已在商用噪声参数系统中实现,大大提高了对小型晶体管的测量能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Accuracy Improvements in Microwave Noise Parameter Determination
An improved method for the determination of noise parameters from several noise figure measurements on arbitrary source reflections is presented. By applying a transformation algorithm to the measured data, the influence of measurement errors is substantially reduced. The straight forward method needs no iterative estimation of the noise parameters. Synthetic measurements with random measurement errors associated to the measured noise figures as well as to the measured source reflection coefficients were investigated. It is shown, that the magnitude of the source reflection coefficients used for noise figure measurements should be smaller than 0.8, regardless of the magnitude of the optimum noise source reflection coefficient. The new determination method was implemented in a commercial noise parameter system where the measurement capabilities for small transistors was improved considerably.
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