系统工程与电子技术

• 传感器与信号处理 • 上一篇    下一篇

分布式小卫星联合多普勒解模糊SAR成像

张龙1,2, 苏涛1, 刘峥1, 贺小慧1,2   

  1. 1. 西安电子科技大学雷达信号处理国家重点实验室, 陕西 西安 710071;
    2. 西安工程大学电子信息学院, 陕西 西安 710048
  • 出版日期:2015-02-10 发布日期:2010-01-03

Joint Doppler ambiguity removal SAR imaging algorithm for distributed micro-satellite

ZHANG Long1,2, SU Tao1, LIU Zheng1, HE Xiao-hui1,2   

  1. 1. National Lab of Radar Signal Processing, Xidian University, Xi’an 710071, China;
     2. College of Electronics and Information, Xi’an Polytechnic University, Xi’an 710048, China
  • Online:2015-02-10 Published:2010-01-03

摘要:

针对分布式小卫星体制提出联合多普勒解模糊SAR成像算法,实现低方位重频采样下的高分辨宽测绘带SAR成像。该算法可以有效校正垂直基线,进而解决其对多普勒解模糊性能的影响。不但校正了垂直基线对应的非空变部分和空变部分,而且结合多普勒解模糊算法校正了残余的垂直基线相位项,从而可以保证多普勒解模糊算法精确实现。另外,针对算法精度进行详细分析,增强文章的工程应用价值。最后,利用仿真实验数据验证算法的有效性。

Abstract:

A joint SAR imaging algorithm with Doppler ambiguity removal is proposed, which can be used for high resolution wide swath SAR imaging in low pulse repetition frequency(PRF) for distributed micro-satellite constellation. The algorithm is capable of correcting the vertical baseline effectively, not only for the range-invariant component and range-variant component, but also for the phase related to residual baseline in vertical combined with Doppler ambiguity removal. Consequently, the Doppler ambiguity can be removed as completely as possible. Moreover, the algorithm precision is also analyzed to support its potential in real application. Finally, simulated data experiment is designed to validate the proposal.