基于空域相关滤波的雷达回波信号降噪方法

对雷达探测来说,如何有效地增强真实目标回波信号、提高信噪比水平是非常重要的。传统的降噪方法如平滑滤波、傅立叶降噪很难有效地降低与目标频谱相重叠的噪声。空域相关滤波算法是小波滤波算法中的一种,能够有效地解决这个问题。该算法是利用真实信号与噪声在尺度间的不同表现来实现的,能够在保留信号细节的同时,有效地降低噪声。仿真表明,该算法在雷达回波的降噪中取得了较好效果,有效地降低了噪声。

Noise Reduction Method of Radar Echo Signal Based on Spatial Correlation Filtering

How to effectively enhance the real target echo signal and improve the level of signal to noise ratio is very important for radar detection. Traditional noise reduction methods,such as smoothing filter,matched filter and Fourier noise reduction,are very difficult to reduce the noise which is distributed in the target spectrum. Spatial correlation filtering algorithm that is one of the wavelet filtering algorithm,can effectively solve the problem. This algorithm uses the different performance of the signal and the noise in the scale to realize noise reduction. It can effectively reduce the noise while preserving the signal details. The simulation results show that this algorithm has good effect on the noise reduction of the radar echo signal and effectively reduce the noise.