Range focusing for large scene circular SAR

K. E. Dungan, J. Nehrbass
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引用次数: 2

Abstract

A recent circular synthetic aperture radar data collection contained various vehicles and calibration targets placed throughout a 5 km scene. By observing multiple orbits of the radar, the down-range distance measurements to scattering features show noticeable drift on the order of 2 m from orbit to orbit. The large scene contained 14 quad-trihedral (QT) calibration targets with radar cross sections that are similar to point targets in the elevation range of the scene. This paper presents an algorithm that uses the QTs to generate global range focusing parameters. Qualitative and quantitative results show the focusing provides a significant improvement to vehicle target discrimination.
大场景圆形SAR的范围聚焦
最近的圆形合成孔径雷达数据收集包括在5公里范围内放置的各种车辆和校准目标。通过对雷达多个轨道的观测,对雷达散射特征的距离测量结果显示出明显的2 m左右的轨道漂移。大场景包含14个四-三面体(QT)标定目标,其雷达截面与场景高程范围内的点目标相似。本文提出了一种利用量子点产生全局距离聚焦参数的算法。定性和定量结果表明,聚焦对车辆目标识别有显著改善。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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