改进的基于特征子空间的SAR图像射频干扰抑制算法

周春晖; 李飞; 李宁; 郑慧芳; 王翔宇

doi:10.12000/JR17025

改进的基于特征子空间的SAR图像射频干扰抑制算法

DOI: 10.12000/JR17025

周春晖^1,2, ,,
李飞^1,,
李宁^1,,
郑慧芳¹,
王翔宇^1,2,

①.
中国科学院电子学研究所北京 100190
②.
中国科学院大学北京 100049

基金项目: 国家自然科学基金优秀青年基金（61422113）

详细信息

作者简介:
周春晖(1992–)，男，山东人，中国科学院电子学研究所硕士研究生，研究方向为合成孔径雷达成像、自聚焦技术、干扰抑制等。E-mail: zchabc88@126.com

李飞：李飞(1976–)，男，四川人，现为中国科学院电子学研究所研究员，硕士生导师，研究方向为合成孔径雷达总体、合成孔径雷达总控技术研究、星载嵌入式系统软硬件开发等。E-mail: lifei@mail.ie.ac.cn

李宁：李宁(1987–)，男，安徽人，毕业于中国科学院电子学研究所，获得博士学位，现为中国科学院电子学研究所助理研究员，研究方向为多模式SAR成像及应用技术研究等。E-mail: lining_nuaa@163.com

王翔宇(1990–)，男，天津人，中国科学院电子学研究所博士研究生，研究方向为多通道SAR成像等。E-mail: wangxiangyu13@mails.ucas.ac.cn

通讯作者:
周春晖 zchabc88@126.com

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- 被引次数: 0
出版历程
- 收稿日期: 2017-03-14
- 修回日期: 2017-05-11
- 网络出版日期: 2018-04-28

Modified Eigensubspace-based Approach for Radio-frequency Interference Suppression of SAR Image

Zhou Chunhui^{1,2
, ,},
Li Fei^1
,,
Li Ning^1
,,
Zheng Huifang¹,
Wang Xiangyu^{1,2
,}

①.
Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China
②.
University of Chinese Academy of Sciences, Beijing 100049, China

Funds: The National Natural Science Foundation of China (61422113)

摘要

摘要: 射频干扰(the Radio Frequency Interference, RFI)会对有用信号产生不利影响，进而严重影响成像质量。该文提出了一种改进的基于特征子空间的合成孔径雷达(Synthetic Aperture Radar, SAR)图像射频干扰抑制算法。相比传统算法，所提算法增加了专门用于射频干扰检测的预处理模块。在预处理阶段，分别在频域和时域对干扰所在的数据区域进行检测。在后处理阶段，只对检测到干扰的数据区域进行基于特征子空间的干扰抑制。相比传统算法，所提算法在保持图像细部结构方面效果更好，且避免了时域逐脉冲干扰抑制带来的巨大运算量，运算效率大幅提高。
- 射频干扰 /
- 干扰抑制 /
- 合成孔径雷达 /
- 特征子空间
Abstract: Radio-Frequency Interference (RFI) adversely affects useful signals, thereby seriously affecting image quality. In this study, a modified eigensubspace-based approach for radio-frequency interference suppression of Synthetic Aperture Radar (SAR) images is proposed. In the preprocessing stage of our proposed algorithm, RFI detection is conducted in both the frequency and time domains. Subsequently, we can only deal with the data containing the RFI via the traditional eigensubspace-based approach. Compared with the traditional eigensubspace-based approach, our proposed algorithm can function more efficiently and effectively.
- Radio Frequency Interference (RFI) /
- Interference suppression /
- Synthetic Aperture Radar (SAR) /
- Eigensubspace

HTML全文

图 1 由工作在L波段的机载SAR系统获得实测数据的距离频域方位时域幅度图

Figure 1. The range direction spectrum of the measured data obtained by an airborne SAR system working at L-band

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图 2 距离向频谱图

Figure 2. Average range direction spectrum of Fig. 1

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图 3 改进的特征子空间法的主要步骤流程图

Figure 3. Main flowchart of main steps of proposed approach

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图 4 利用传统的特征子空间法处理得到的点目标仿真实验结果

Figure 4. Imaging results of point target via traditional eigensubspace-based approach

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图 5 利用改进的的特征子空间法处理得到的点目标仿真实验结果

Figure 5. Imaging results of point target via modified eigensubspace-based approach

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图 6 包含RFI的完整原始SAR图像

Figure 6. Original full SAR image containing RFI

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图 7 图6中的区域“A”的对比实验结果

Figure 7. Results of contrast experiment of area “A” in Fig. 6

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图 8 图6中的区域“B”的对比实验结果

Figure 8. The results of the contrast experiment of the area “B” in Fig. 6

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表 1 仿真实验的主要系统参数

Table 1. Main system parameters for experiment

参数	数值
雷达工作频率(GHz)	1.3
景中心斜距(km)	20
雷达有效速度(m/s)	150
波束斜视角	正侧视
发射脉冲时宽(μs)	2.5
距离向带宽(MHz)	50
距离向采样频率(MHz)	70
天线长度(孔径)(m)	3.75
方位向采样率(PRF)(Hz)	112

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表 2 距离向/方位向关键指标的仿真实验结果(dB)

Table 2. Simulation results of key indicators in range /azimuth direction (dB)

方法	PSLR(峰值旁瓣比)	ISLR(积分旁瓣比)
传统方法	–11.3740/–13.2009	–8.2197/–10.0441
改进方法	–12.9144/–13.2255	–9.9132/–10.1378

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表 3 机载实验系统的主要系统参数

Table 3. Main system parameters for experiment

参数	数值
雷达工作频率(GHz)	1.3
景中心斜距(km)	15.883
雷达有效速度(m/s)	130.099
波束斜视角	正侧视
发射脉冲时宽(μs)	10.4
距离向带宽(MHz)	210
距离向采样频率(MHz)	266.667
天线长度(孔径)(m)	1.36
方位向采样率(PRF)(Hz)	899.5393

下载: 导出CSV

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