分数阶傅里叶变换数值计算中的量纲归一化

Dimensional Normalization in the Digital Computation of the Fractional Fourier Transform

  • 摘要: 针对分数阶傅里叶变换(FRFT)快速算法中所要求的量纲归一化与实际工程计算脱节的问题,对量纲归一化进行了研究,提出了离散尺度变换和数据补零/截取2种实用的量纲归一化方法,研究了2种方法对chirp信号参数估计的影响,导出了采用离散尺度化方法时,归一化前后的chirp信号参数的变换关系.通过仿真实例说明FRFT快速算法能够应用于实际工程计算.

     

    Abstract: The fast algorithm of the digital computation of the fractional Fourier transform(FRFT) requires the dimensional normalization, but how to do it for practical discrete signal is not settled yet. For this reason, the paper presents two engineering-oriented methods of the dimensional normalization. One is called as the discrete scaling transform method, another is called as the data zero-padding/interception method. Furthermore, their effects on the parameter estimation of the chirp signal are studied and for discrete scaling method, a relationship before and after the normalization is developed. Finally, these methods are verified by simulation examples. These engineering-oriented methods of the dimensional normalization makes the FRFT more practical in digital signal processing.

     

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