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Correct calculation and presentation of DFLP with commercial software

机译:使用商业软件正确计算和显示DFLP

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In many cases, S parameters measured by network analyzer are exported as datasets for post analysis and processing of the measurement results with a circuit simulator, MATLAB procedures and even Excel spreadsheet. This approach improves production efficiency, as the measurement equipment is usually very expensive and requires experienced operators. The algorithm often used to extract Deviation from Linear Phase (DFLP) is a Linear Regression algorithm. In most programs this algorithm is provided as an internal function, but it is not the proper algorithm for DFLP since it provides a linear phase function that has the least average error from the investigated phase function, while a proper algorithm for DFLP should provide a linear function that has the least absolute maximum error from the investigated phase function. This discrepancy could (and does) lead to over specifications of products and to rejection of good products. In this paper, an easy and practical way of providing the correct DFLP by using the internal Linear Regression Function is presented.
机译:在许多情况下,网络分析仪测得的S参数被导出为数据集,以便通过电路仿真器,MATLAB程序甚至Excel电子表格对分析结果进行后期分析和处理。这种方法提高了生产效率,因为测量设备通常非常昂贵,并且需要经验丰富的操作员。通常用于提取线性相位偏差(DFLP)的算法是线性回归算法。在大多数程序中,此算法是作为内部函数提供的,但它不是DFLP的正确算法,因为它提供的线性相位函数的平均误差要小于研究的相位函数,而正确的DFLP算法则应该提供线性函数。与所研究的相位函数相比具有最小绝对最大误差的函数。这种差异可能(并且确实)导致产品规格超标并导致不良产品被拒收。本文提出了一种使用内部线性回归函数提供正确DFLP的简便实用方法。

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