一种新的基于贝叶斯频谱估计的传输线长度测量方法

An Improved Method of Measuring the Lenghth of Transmission Lines Using Bayesian Spectrum Estimation

根据双臂电桥原理搭建出实验电路进行数据采集,再应用贝叶斯频谱估计算法对测得的数据进行分析,得出反射频率周期,然后根据反射原理推算出人工传输线的长度。由于在检测方法和分析方法上的改进,在传输线长度的测量精度上获得了很好的效果。在实验中,根据先验知识和理论得出一个特定的模型方程;在实际应用中如果能够找到一个合适的模型方程,那么就可以运用贝叶斯频谱估计方法进行分析,因此贝叶斯频谱估计算法有着非常广泛的实用价值。

Bayesian Spectral Estimation is applied to estimate the length of an artificial transmission line. First, the interval between successive peaks of the graph of frequency versus voltage is measured. Then, reflection theory is used to calculate the cable length.A two-arm bridge is used to increase the accuracy of measurement of the reflected voltage. Comparison with the traditional method shows the advantage of the improved solution.