...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>International journal of remote sensing >A new generic processing scheme for large baseline spaceborne bistatic SAR data imaging
【24h】

A new generic processing scheme for large baseline spaceborne bistatic SAR data imaging

机译：大基线星载双基地SAR数据成像的新通用处理方案

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Standard synthetic aperture radar (SAR) processors use analytically derived transfer functions that rely on the assumption of hyperbolic range histories of monostatic SARs with straight flight paths. The range histories for bistatic SARs are no longer hyperbolic and simple analytic transforms do not exist. In this article, a bistatic subsection hyperbolic range history (BS-HRH) model is proposed and based on it; a generic processing scheme for bistatic SAR imaging is given with which simple analytic transforms for standard monostatic SARs can still be applied. One-dimensional and two-dimensional signal-level simulations are done using the orbit parameters of Envisat and a classic pendulum-like bistatic configuration under different baselines. It is found that the proposed BS-HRH algorithm performs well for spaceborne bistatic SARs even with extreme bistatic configurations and/or very high azimuth resolution. Compared with the existing analytical 'method of series reversion (MSR)' and the numerical 'NuSAR' algorithm, easy implementation, high efficiency and accuracy, and mathematical simplicity are among the advantages of the proposed algorithm. The approach of BS-HRH has the potential to solve the general HRH-deviation problem for other new SARs with more complex imaging geometry.
机译：标准合成孔径雷达（SAR）处理器使用解析得出的传递函数，该函数依赖于具有直线飞行路径的单基地SAR的双曲线范围历史的假设。双基地SAR的航程历史不再是双曲线的，也不存在简单的分析变换。本文提出并基于此模型建立了一个双站分段双曲线范围历史模型（BS-HRH）。给出了用于双基地SAR成像的通用处理方案，通过该方案，仍然可以对标准单基地SAR应用简单的分析变换。使用Envisat的轨道参数和不同基线下的经典摆式双基地配置完成一维和二维信号级仿真。发现所提出的BS-HRH算法即使在极端双基地配置和/或非常高的方位角分辨率的情况下，对于星载双基地SAR也表现良好。与现有的分析“串联回复方法（MSR）”和数值“ NuSAR”算法相比，该算法的优点是易于实现，高效，准确，数学简单。 BS-HRH的方法有可能解决成像几何更为复杂的其他新SAR的一般HRH偏差问题。

著录项

  • 来源
    《International journal of remote sensing》 |2013年第20期|6780-6795|共16页
  • 作者

    Feng He; Baoguo Li; Qi Chen; Anxi Yu; Zhihua He; Diannong Liang;

  • 作者单位

    College of Electronic Science and Engineering, National University of Defence Technology, Changsha, P.R. China;

    College of Electronic Science and Engineering, National University of Defence Technology, Changsha, P.R. China;

    College of Electronic Science and Engineering, National University of Defence Technology, Changsha, P.R. China;

    College of Electronic Science and Engineering, National University of Defence Technology, Changsha, P.R. China;

    College of Electronic Science and Engineering, National University of Defence Technology, Changsha, P.R. China;

    College of Electronic Science and Engineering, National University of Defence Technology, Changsha, P.R. China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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