首页> 外文期刊>Remote Sensing >A Novel Spaceborne Sliding Spotlight Range Sweep Synthetic Aperture Radar: System and Imaging
【24h】

A Novel Spaceborne Sliding Spotlight Range Sweep Synthetic Aperture Radar: System and Imaging

机译:新型星载滑动聚光测距扫频合成孔径雷达:系统与成像

获取原文
           

摘要

In this paper, a new Spaceborne Sliding Spotlight Range Sweep Synthetic Aperture Radar (SSS-RSSAR) is proposed to generate a high-resolution image of a Region of Interest (ROI) tilted with respect to the satellite track. Comparing to the traditional Spaceborne Sliding Spotlight Synthetic Aperture Radar (SSS-SAR), the SSS-RSSAR is superior in contributing to less data amount, lighter computational load and hence higher observation efficiency. Unlike the Spaceborne Stripmap Range Sweep Synthetic Aperture Radar (SS-RSSAR) proposed in a previous paper, the SSS-RSSAR not only continuously sweeps the beam in range for the ROI tracking, but also in azimuth to enlarge the synthetic aperture for an improved azimuth resolution. Two aspects of the SSS-RSSAR are focused: system and imaging. For the system part, a Continuous Varying Pulse Interval (CVPI) technique is proposed to avoid the transmission blockage problem by non-uniformly adjusting the pulse intervals based on the geometry. For the imaging part, a Modified Polar Format Algorithm (MPFA) is proposed to accommodate the original polar format algorithm to the echo received with the CVPI technique. Moreover, an integrate system parameter design flow for the SSS-RSSAR is also suggested. The presented approach is evaluated by exploiting the point target simulations.
机译:在本文中,提出了一种新的星载滑动聚光测距扫描合成孔径雷达(SSS-RSSAR),以生成相对于卫星轨道倾斜的感兴趣区域(ROI)的高分辨率图像。与传统的星载滑动聚光合成孔径雷达(SSS-SAR)相比,SSS-RSSAR在减少数据量,减轻计算负荷和提高观测效率方面具有优势。与以前的论文中提出的星载带状图测距扫描合成孔径雷达(SS-RSSAR)不同,SSS-RSSAR不仅连续扫描波束以进行ROI跟踪,而且还以方位角扩大合成孔径以改善方位角解析度。 SSS-RSSAR的两个方面着眼于系统和成像。对于系统部分,提出了一种连续可变脉冲间隔(CVPI)技术,以通过根据几何形状非均匀地调整脉冲间隔来避免传输阻塞问题。对于成像部分,提出了一种改进的极坐标格式算法(MPFA),以将原始的极坐标格式算法适应CVPI技术接收的回波。此外,还提出了SSS-RSSAR的集成系统参数设计流程。通过利用点目标仿真来评估所提出的方法。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号