一种方位时变GEO SAR成像处理新算法
发布时间:2018-11-11 09:00
【摘要】:针对地球同步轨道合成孔径雷达(GEO SAR)回波模型的距离空变和方位时变问题,提出一种基于改进距离-多普勒(RD)和方位向调频尺度变换(CS)的成像算法。首先引入四阶泰勒展开模型解决成像中存在的弯曲轨迹问题,然后对传统RD算法进行改进,补偿距离空变,最后对方位时变进行建模,通过方位向CS补偿方位时变,使GEO SAR能够进行更大场景的成像。结合天基雷达先进仿真系统(SBRAS)进行仿真,验证了该算法的有效性。
[Abstract]:Aiming at the range spatial variation and azimuth time-varying of (GEO SAR) echo model of geosynchronous orbit synthetic aperture radar, an imaging algorithm based on improved range-Doppler (RD) and azimuth frequency modulation scale transform (CS) is proposed. First, the fourth order Taylor expansion model is introduced to solve the bending trajectory problem in imaging, and then the traditional RD algorithm is improved to compensate the spatial variation of the azimuth. Finally, the time-varying azimuth is modeled and the azimuth time-varying is compensated by the azimuth CS. Allows GEO SAR to image larger scenes. The effectiveness of the algorithm is verified by simulation with (SBRAS), an advanced simulation system for space-based radar.
【作者单位】: 国防科学技术大学电子科学与工程学院;
【基金】:航天科技创新基金(CASC201104)
【分类号】:TN957.52
本文编号:2324383
[Abstract]:Aiming at the range spatial variation and azimuth time-varying of (GEO SAR) echo model of geosynchronous orbit synthetic aperture radar, an imaging algorithm based on improved range-Doppler (RD) and azimuth frequency modulation scale transform (CS) is proposed. First, the fourth order Taylor expansion model is introduced to solve the bending trajectory problem in imaging, and then the traditional RD algorithm is improved to compensate the spatial variation of the azimuth. Finally, the time-varying azimuth is modeled and the azimuth time-varying is compensated by the azimuth CS. Allows GEO SAR to image larger scenes. The effectiveness of the algorithm is verified by simulation with (SBRAS), an advanced simulation system for space-based radar.
【作者单位】: 国防科学技术大学电子科学与工程学院;
【基金】:航天科技创新基金(CASC201104)
【分类号】:TN957.52
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