摘要
分析了合成孔径雷达(SAR)的图像信号模型,阐述了应用数据外推方法提高分辨率的可行性.提出一种最小方差谱估计和最小加权范数约束结合的非参数类数据外推方法.该方法外推SAR相位历史域信号有效带宽可得到较好的成像效果.仿真和实测数据处理证明了此方法的有效性,并给出了定量比较与分析.
The image signal model of synthetic aperture radar （SAR） is analyzed, and the feasibility using the data extrapolation method to improve the SAR image resolution is illustrated. The paper proposes a nonparameter data extrapolation method based on minimum variance spectrum estimation and minimum weighted norm constraint. The method extrapolates the efficient bandwidth in phase history field to obtain the better imaging result. Simulation and the practical test data proved effectivity of the method, and the quantitative comparison is given.
出处
《测试技术学报》
2009年第5期457-461,共5页
Journal of Test and Measurement Technology
关键词
合成孔径雷达
超分辨率
谱外推
最小方差谱估计
最小加权范数
synthetic aperture radar （SAR）
superresolution
spectra extrapolation
minimum variance spectrum estimation
minimum weighted norm
