摘要
在机载聚束模式合成孔径雷达成像场景下,利用极坐标格式算法(PFA)实现远距离高分辨成像过程中,由于二维矩阵规模庞大,需要进行大量的距离/方位插值处理,耗费大量的硬件运算资源。从限制矩阵规模的角度,研究一种PFA快速成像处理算法,通过二次距离补偿策略及改进的方位处理算法,降低距离/方位向的插值点数;最后通过两种算法的对比,发现在大斜视远距离高分辨成像需求的背景下,采用PFA改进算法,在不影响成像指标的前提下,可节约近一半的运算量。
Polar Format Algorithm(PFA)is used in airborne spotlight Synthetic Aperture Radar.While long-range and high-resolution SAR requires large scale matrix,the great range and azimuth interpolation is needed,which consumes hardware com‐puting resources.This paper aims to limit the size of the matrix,researches a fast PFA imaging processing algorithm,which uses a twice range compensation and an improved azimuth processing way to reduce the points of two-dimensional interpolation.By com‐paring two algorithms,we can see that in need of long-range and high-resolution SAR imaging,the proposed algorithm can save nearly half hardware computing resources without compromising imaging performance.
作者
洪惠宇
HONG Huiyu(No.14 Research Institute,China Electronics Technology Group Corporation,Nanjing Jiangsu 210039,China)
出处
《盐城工学院学报（自然科学版）》
CAS
2022年第2期27-31,共5页
Journal of Yancheng Institute of Technology:Natural Science Edition
关键词
极坐标格式算法
二次距离补偿
改进方位处理
polar format algorithm
twice range compensation
improved azimuth processing
