南京大学学报(自然科学版) ›› 2019, Vol. 55 ›› Issue (5): 718724.doi: 10.13232/j.cnki.jnju.2019.05.002
Bin Zhang,Sheng Zhang,Jianfei Chen()
摘要:
毫米波综合孔径成像辐射计(Synthetic Aperture Imaging Radiometer,SAIR)是一种适用于近场成像的高分辨率、高灵敏度传感器,但因其接收机数量大、系统复杂度高,限制了SAIR在实际场景中的应用.用少量阵元天线获取的稀疏可见度函数进行高精度成像反演是目前SAIR成像研究的热点之一.为从少量的可见度采样点中重构出具有较高精度的毫米波图像,借鉴压缩感知(Compressed Sensing,CS)的稀疏重构思想,提出一种基于二维SAIR成像模型的CS?L0成像反演算法.该算法借助SL0算法思想对二维综合孔径反演模型进行快速的l0范数求解,可从少量可见度采样点中快速精确地重构出目标场景的亮温图像.实验仿真表明,与结合传统成像模型的一般CS反演法相比,提出的CS?L0反演法具有更高的成像精度和反演速度,能够对稀疏采样的SAIR进行快速准确的成像反演.
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