PRONY算法在短(窄)脉冲分析中的应用

Analysis on Short (Narrow) Pulse by PRONY Algorithm

为了解决信号分析中的去除噪声问题,准确地或较好地恢复原信号,在分析周期信号的基础上,提出了一种基于PRONY模型的周期信号分析法.通过对周期短(窄)脉冲包括噪声及非整数倍周期的算例分析,结果表明,PRONY法可以准确估计信号中各分量的振幅、频率、相位,利用这些参数较好地拟合出原波形,并抑制一定的噪声.该方法弥补了经典谱估计无法分析非整数倍谐波和没有噪声抑制功能的缺点.

To eliminating the noise in signal and reconstructing signal accurately, a cycle signal analysis based on the PRONY model has been proposed. Analyzing to the cyclical short （narrow） pulse including noise and non-integral multiple cycle, it indicated that the PRONY method may estimate accurately the amplitude, frequency and phase of various components in signal. Using these parameters, the original signal can be better reconstructed and the noise can also be suppressed. The shortcoming of the classical spectrum estimation is unable to analyze the non-integral multiple harmonic and can＇t suppress noise those are made up by this method.