利用希尔伯特黄变换估计调频信号参数

Hao Chen, Jun-hai Guo, Tong Liu
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引用次数: 1

摘要

将基于经验模态分解(EMD)的去噪方法与模态分解方法相结合,提出了新的鲁棒调频信号参数估计方法。首先采用基于EMD的去噪方法对原始信号进行去噪,然后采用基于HHT (Hilbert Huang transform)的调频信号参数估计方法对去噪后的信号进行估计。仿真结果表明,基于EMD的去噪方法大大提高了信号的信噪比,且对模态分解没有损害,使调频参数估计方法对噪声具有更强的鲁棒性,并在雷达目标估计中的应用证明了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
FM signal parameter estimation using the Hilbert Huang transform
Combining EMD (Empirical mode decomposition) based denoising methods with mode decomposition methods, new robust FM (frequency modulation) signal parameter estimation methods are proposed. The original signal is firstly denoised with EMD based denoising method, HHT (Hilbert Huang transform) based FM signal parameter estimation method is then used on the denoised signal. Simulations show that the EMD based denoising method largely increases signal's SNR and does no harm to the mode decomposition, making the FM parameter estimation method more robust to noise, and the application in radar target estimation proves the usefulness of this method.
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