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Weak Signal De-noising Method Based on Accumulation in Frequency Domain and Wavelet Transform

机译：基于频域累积和小波变换的弱信号降噪方法

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摘要

Bioradar echoes are often very weak and submerged in noise. The SNR of radar signal is very low. Therefore, echo signal denoising is indispensable for extracting life information. In this paper, the method of weak signal denoising based on the combination of accumulation in frequency domain and wavelet transform is proposed. First, the effectiveness of frequency domain in accumulation and wavelet transform in denosing is presented respectively. Then, the combination of two methods was used to remove noise and extract useful information on the situation of Gaussian white noise. Simulation results show that the method can restrain the noise and extract useful signal effectively in low SNR.
机译：生物雷达回波通常非常微弱，并淹没在噪音中。雷达信号的信噪比非常低。因此，回波信号去噪对于提取生命信息是必不可少的。提出了一种基于频域累加和小波变换相结合的弱信号去噪方法。首先，分别给出了频域在累加和小波变换去噪中的有效性。然后，将两种方法结合使用以消除噪声并提取有关高斯白噪声情况的有用信息。仿真结果表明，该方法在低信噪比下可以抑制噪声并有效地提取有用信号。

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