Prior Knowledge Aided Two Dimensional Autofocus Approach for Synthetic Aperture Radar

MAO Xin-hua; CAO Hai-yang; ZHU Dai-yin; ZHU Zhao-da

doi:10.3969/j.issn.0372-2112.2013.06.001

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Prior Knowledge Aided Two Dimensional Autofocus Approach for Synthetic Aperture Radar

更新时间：2025-07-16

- Prior Knowledge Aided Two Dimensional Autofocus Approach for Synthetic Aperture Radar
- Acta Electronica Sinica Vol. 41, Issue 6, Pages: 1041-1047(2013)
- 作者机构：
  
  南京航空航天大学电子信息工程学院,江苏,南京,210016
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China (No.B2520110008);National Natural Science Foundation of China (No.61071165);Aeronautical Science Foundation of China, ASFC (No.20102052024);Specially Supported by The Third Batch of China Postdoctoral Science Foundation (No.201003586);Fundamental Research Funds for the Central Universities (No.NS2012097);A Project Funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions;Ph.D. Programs Foundation of Ministry of Education of China (No.20123218120021)
- DOI：10.3969/j.issn.0372-2112.2013.06.001
  CLC： TN958
- Published：2013
- 稿件说明：
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MAO Xin-hua, CAO Hai-yang, ZHU Dai-yin, et al. Prior Knowledge Aided Two Dimensional Autofocus Approach for Synthetic Aperture Radar[J]. Acta Electronica Sinica, 2013, 41(6): 1041-1047.
DOI：

MAO Xin-hua, CAO Hai-yang, ZHU Dai-yin, et al. Prior Knowledge Aided Two Dimensional Autofocus Approach for Synthetic Aperture Radar[J]. Acta Electronica Sinica, 2013, 41(6): 1041-1047. DOI： 10.3969/j.issn.0372-2112.2013.06.001.

摘要

传统的SAR(Synthetic Aperture Radar)两维自聚焦算法没有充分挖掘残留相位误差所特有的内部结构信息

是对残留相位误差的一种盲估计

实际应用时在估计精度和计算效率等方面还受到一定限制.本文以极坐标格式算法为例

详细分析了成像算法处理后残留两维相位误差的解析结构

并利用这种先验辅助知识

提出了一种基于一维估计/两维校正的自聚焦算法.算法只需直接估计方位一维相位误差

然后利用两维相位误差内部所特有的结构信息

将一维相位误差映射得到两维相位误差

从而实现精确的两维自聚焦.实测数据处理结果验证了本文算法的有效性.

Abstract

Conventional two dimensional(2D)autofocus algorithms didn't take advantage of the priori information on the structure of phase error.They often suffered from lack of redundancy to accurately estimate the 2D phase error.In this paper

a knowledge aided(KA)2D autofocus approach is presented

which is based on exploiting the priori knowledge on the phase error structure.First

as a prerequisite for the proposed KA method

the analytical structure of residual 2D phase error in SAR (Synthetic Aperture Radar)imagery is investigated in the polar format algorithm framework.Then

by incorporating this prior information

a 2D autofocus approach is proposed.The new method only requires an estimate of azimuth 1D phase error

while the 2D phase errors can then be computed directly from the estimated azimuth phase error.Experimental results indicate the effectiveness of the proposed method.

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