摘要
受分辨率限制及旁瓣影响,传统的傅里叶变换方法获取合成孔径雷达层析成像(SAR tomography)高度维图像时,难以获得满意的成像结果。本文在松弛(RELAX)算法的基础上提出了一种改进算法(IRELAX)来获得SAR层析成像的高度维像,通过Monte Carlo仿真对谱估计算法中的MUSIC,WSF,RELAX和IRELAX的性能进行了比较,结果表明本文提出的方法能够提高干涉相位估计精度,改善成像质量。
The elevation imaging of SAR tomography obtained by classic FFT method is limited by the resolution and the sidelobe problem,thus the imaging result is unsatisfying.Spatial spectrum estimation methods can obtain the lower sidelobe,the narrower spectrum and the higher resolution in the elevation direction with small number of the baseline.This paper proposes an improved algorithm of the RELAX,called the IRELAX,to obtain elevation imaging.Then,the performances of MUSIC,WSF,RELAX,IRELAX are compared with that of the Monte Carlo simulation.Simulation results confirm the validity of the IRELAX algorithm.Meanwhile,the proposed algorithm can obtain better imaging than the other algorithm.
出处
《数据采集与处理》
CSCD
北大核心
2010年第3期302-306,共5页
Journal of Data Acquisition and Processing