超宽带雷达系统中图像恢复新算法

New image restoration algorithm for ultra-wide band radar system

针对超宽带穿墙雷达系统中低信噪比回波信号成像困难的问题,提出了一种基于子空间的约束最小二乘扩展多通道盲图像恢复新算法。在建立穿墙雷达成像退化模型的基础上,将穿墙雷达成像的高分辨问题转化为多通道盲图像恢复问题,并通过把子空间的概念转化为对降晰函数的约束,构造了新的代价函数进行扩展多通道的盲图像恢复。实验结果验证了本文提出的新算法能有效的改善雷达图像的分辨率。

A new multi-channel blind image restoration algorithm based on sub-space and Constrained Least Square （CLS） is proposed to solve the imaging problems of ultra-wide band （UWB） through-wall radar echo under low signal to noise ratio （SNR）. The high resolution of the radar image is transformed into multi-channel blind image restoration based on the modeling for the through-wall radar echo. And the concept of sub-space is considered as the limitation of blur identification, a new cost function is constructed to restore the multi-channel blind images. Experimental results prove that the new method is effective in improving the resolution of radar image.