阈值法在毫米波目标辐射信号去噪中的应用研究

The Application of Threshold Denoising to the MMW Target Radiation Signal

小波域阈值法去噪以其效果好,易编程实现而广泛应用到图像及信号的去噪中。该文在分析了毫米波目标辐射信号的小波系数特征后,提出使用非负小波系数代替信号的小波系数。对于确定的阈值,推导了重构信号均方差最小时,非负小波系数的去噪方法,实验表明该文算法具有较好的去噪效果。

Threshold denoising in wavelet domain is an efficient method to reduce the white noise which is easy to program, so that it is widely applied to the image and signal denoising. According to the wavelet transformation characteristic of the MMV target radiation signal, the non-negative wavelet coefficient is used to replace the wavelet coefficient of the signal. For the definite threshold, denoising method of the non-negative wavelet coefficient is inferred when the MSE of the reconfigurable signal is minimized. Experiments show that the method can suppress the noise effectively.