西安电子科技大学学报

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一种考虑通道噪声的极化SAR定标改进算法

张海瀛;李真芳;李锦伟;房超   

  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)
  • 收稿日期:2015-10-25 出版日期:2016-12-20 发布日期:2017-01-19
  • 作者简介:张海瀛(1990-),男,西安电子科技大学博士研究生,E-mail:zhanghaiying4155@163.com.
  • 基金资助:

    国家自然科学基金资助项目(61471276,41371439)

Improved polarimetric SAR calibration algorithm considering channel noise

ZHANG Haiying;LI Zhenfang;LI Jinwei;FANG Chao   

  1. (National Key Lab. of Radar Signal Processing, Xidian Univ., Xi'an 710071, China)
  • Received:2015-10-25 Online:2016-12-20 Published:2017-01-19

摘要:

在利用极化合成孔径雷达数据进行各项研究时,首先需要对极化合成孔径雷达数据进行标定.现有Ainsworth算法在利用分布目标估计交叉极化通道不平衡参数时,没有考虑交叉极化通道噪声的影响,这将影响该参数的估计稳健性.针对此种情况,提出了一种改进的Ainsworth定标算法.该改进算法充分考虑了交叉极化通道噪声对交叉极化通道不平衡参数估计的影响,在交叉极化通道噪声不一致以及低信噪比的情况下具有良好的性能.基于仿真数据和实测数据的实验结果验证了该改进算法的有效性.

关键词: 极化合成孔径雷达, 极化定标, Ainsworth算法

Abstract:

It is necessary to calibrate polarimetric SAR(Synthetic Aperture Radar) data in order to use the data for scientific applications. The present Ainsworth algorithm does not consider the cross-polarization channel noise in estimating the cross-polarization imbalance parameter and therefore the estimation of this parameter is not robust. To solve the above problem, an improved Ainsworth algorithm is presented, which takes the cross-polarization channel noise into consideration. This algorithm can preserve a high performance under the situations of difference cross-polarization channel noise powers and a low signal noise ratio. Experimental results based on simulated and real data confirm the effectiveness of the improved algorithm.

Key words: polarimetric SAR, polarimetric calibration, Ainsworth algorithm

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