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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去噪方法

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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:Bioradar回声通常非常弱,肿胀噪音。雷达信号的SNR非常低。因此,回声信号去噪对于提取生命信息是必不可少的。本文提出了基于频域和小波变换累积组合的弱信号去噪方法。首先,分别提出了频域在累积和小波变换中的频域的有效性。然后,使用两种方法的组合去除噪声并提取关于高斯白噪声情况的有用信息。仿真结果表明,该方法可以在低SNR中有效地抑制噪声并提取有用的信号。

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