基于小波变换的舰船雷达图像去噪方法研究

Research on de-noising method of ship radar image based on wavelet transform

在舰载雷达系统中,集成了非常复杂的信号处理算法和降噪算法,通过软硬件的配合,舰载雷达能够具备非常高效的图像识别能力。但在电子对抗战争中,普通的去噪算法并不能满足雷达图像去噪的性能要求,本文基于舰船雷达的实际工作需求,结合小波变换算法,从本质上对雷达的通信数据和图像数据进行优化,并建立雷达图像去噪模型,通过样本采样和模式学习,该小波去噪算法能够显著降低雷达信号中的背景噪声,大大提高了图像信号的识别能力。

In the shipborne radar system, a very complex signal processing algorithm and noise reduction algorithm are integrated. With the cooperation of hardware and software, shipborne radar can have very effective image recognition capabilities. However, in the electronic warfare battle, ordinary denoising algorithms can not meet the performance requirements of radar image denoising. This article based on the actual working requirements of ship radar, combined with wavelet transform algorithm, essentially carries out radar communication data and image data. After optimization, a radar image denoising model was established. Through sample sampling and pattern learning, the wavelet denoising algorithm can significantly reduce background noise in radar signals and greatly improve the ability of image signal recognition.