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一种基于改进f-k滤波的编码雷达信号去噪方法

A denoising method for coded radar signals based on improved f-k filtering

  • 摘要: 超宽带编码雷达探测地下介质时,回波信号不可避免地受到噪声影响,这会对数据解释带来一定困难. 频率-波数(f-k)滤波方法可以有效滤除部分噪声,但其对高频段的滤波效果欠佳. 针对此问题,本文提出一种改进的f-k滤波方法,根据频率和波数的分布情况,设置不同的视速度阈值进行分段处理,提高高频段的视速度阈值,有效滤除了高频段的噪声. 实验结果表明,经该方法处理后的图像熵较原方法处理后的图像熵减小了6%,具有良好的噪声抑制效果.

     

    Abstract: The echo signal is inevitably affected by noise when coded ultra-wideband radar signal penetrates underground media, which makes data interpretation difficult. The f-k filtering method can effectively filter out part of the noise, but its filtering effect on the high-frequency bands is not good. To deal with this problem, an improved f-k filtering method is proposed in this paper, which sets different apparent velocity thresholds for sub-band processing according to the distribution of frequency and wavenumber. The apparent velocity threshold of high-frequency bands is increased, effectively filtering out the noise in the high-frequency band. The experimental results show that the entropy of the images processed by this method is reduced by 6% compared to that of the original method, which has a good noise suppression effect.

     

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