用Hilbert变换进行FM信号解调的一种数据处理方式

The Data Processing about FM Signals’ Demodulation Using Hilbert Transformation

针对Hilbert变换进行FM信号解调中的问题进行了实验研究，对于Hilbert变换中卷积窗口长度的选取问题，通过实验研究发现，同时满足窗长大于100点且宽于载波周期的条件，可以获得良好的变换效果。对于以微分方式从实际相位波形中获取瞬时频率的准确度不高的问题，提出了一种先剔除趋势分量再微分的多点差分计算方法，获得了良好的解调效果。并在一组调制参量已知的FM波形序列上，以解调实验验证了该方法的正确性和可行性。为用Hilbert变换法进行FM信号解调提供了一种快速实用的数据处理方式。

To the FM signals demodulation using Hilbert transformation, some problems are introduced. To the window length of de-convolution of Hilbert transformation, the experiment results show, when the window length is longer than both 100 points and the carrier wave period, the results are good. To obtain the real frequency from the phase series by differential method, a novel method is presented to overcome the lower precise results, First of all, it must be eliminating trend part by terminal base line method, and then, multi-point difference is used. And the good demodulation results of FM signal are gotten. Through demodulation experimentation in one sampling series of FM signals. The validity and feasibility are proved and it must be a novel processing method of de-modulation FM signals using I-Iilbert transform.