摘要
在毫米波综合孔径成像中,当处理对象是扩展源时,得到的图像存在着条纹现象。提出了一种改进的CLEAN算法,将经过窗函数加权的阵列点散布函数用于CLEAN算法的解卷积过程。仿真结果表明,采用该算法对被点散布函数副瓣和噪声污染的毫米波综合孔径图像进行重建时,图像质量得到了进一步改善。
In mm-wave synthetic aperture array imaging,additional strip phenomenon occur when processing extended source.An improved CLEAN Algorithm for image reconstruction is introduced.By weighting the Point Spread Function（PSF） of the array with window matrix which is constructed according to the MSE of residual dirty graph dynamically,the side lobe of dirty pulse used in CLEAN algorithm for deconvolution is adjusted dynamically.Simulation results show that the improved CLEAN algorithm can improve image quality when it used to reconstruct dirty image polluted by the side lobe and noise.
出处
《中国电子科学研究院学报》
2012年第5期510-516,共7页
Journal of China Academy of Electronics and Information Technology
关键词
综合孔径阵列
被动成像
CLEAN算法
解卷积
图像重建
synthetic aperture array
passive imaging
CLEAN algorithm
deconvolution
image reconstruction
