基于快速后向投影的超宽带冰雷达数据成像算法

稂时楠; 许奔; 崔祥斌

doi:10.11999/JEIT211217

基于快速后向投影的超宽带冰雷达数据成像算法

doi: 10.11999/JEIT211217

稂时楠¹,
许奔^{1, 2},
崔祥斌^2, ,

1.
北京工业大学北京 100124
2.
中国极地研究中心上海 200136

基金项目: 国家自然科学基金(41941006, 41606219, 41776186)，科技部重点研发计划(2019YFC1509102)，北京教育委员会科研项目(KM201910005027)，上海市科技计划项目(21ZR1469700)

详细信息

作者简介:
稂时楠：女，1988年生，副教授，硕士生导师，研究方向为冰雷达数据处理、冰雷达图像处理技术

许奔：男，1997年生，硕士生，研究方向为冰雷达数据处理

崔祥斌：男，1981年生，研究员，博士生导师，研究方向为探冰雷达(无线电回波探测)技术及其在南极冰盖、冰川测绘和研究南极冰几何和基底条件方面的应用

通讯作者:
崔祥斌　cuixiangbin@pric.org.cn

中图分类号: TN957.52
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- 被引次数: 46
出版历程
- 收稿日期: 2021-11-03
- 修回日期: 2022-02-19
- 录用日期: 2022-02-21
- 网络出版日期: 2022-03-02
- 刊出日期: 2022-04-18

Processing Algorithm Based on Fast Back-projection for Imaging of Ultra-WideBand Ice-sounding Data

LANG Shinan¹,
XU Ben^{1, 2},
CUI Xiangbin^{2
, ,}

1.
Beijing University of Technology, Beijing 100124, China
2.
Polar Research Institute of China, Shanghai 200136, China

Funds: The National Natural Science Foundation of China (41941006, 41606219, 41776186), The National Key R&D Program of China (2019YFC1509102), The Scientific Research Project of Beijing Educational Committee (KM201910005027), Shanghai Science and Technology Development Funds (21ZR1469700)

摘要

摘要: 该文提出一种新的冰雷达成像算法，该算法可以在获得高分辨率冰下剖面图的同时，拥有较高的处理效率。该算法是一种基于快速后向投影的超宽带(UWB)冰雷达成像方法，其修正了多层媒质情况下的雷达与目标之间的距离，以及因多层媒质造成的距离徙动几何变化。该文分析了算法的原理，给出了算法实现的具体步骤，并将其应用于点目标仿真和航空冰雷达数据实验，验证了算法在冰下成像中的有效性。此外，将该方法与现有常用冰雷达算法的成像结果在方位向杂波抑制能力、计算时间和方位向分辨率3个方面进行了对比，证明该算法能够在不降低方位向杂波抑制能力和方位向分辨率的前提下，有效提高计算效率。
- 合成孔径雷达 /
- 冰雷达数据 /
- 超宽带 /
- 快速后向投影
Abstract: A new algorithm for imaging of ice-sounding radar is proposed, which can obtain high-resolution subglacial profiles with high processing efficiency. This algorithm, which is a processing algorithm based on fast back-projection for imaging of Ultra-WideBand(UWB) ice-sounding radar, can correct the distance between radar and targets in multilayer media and the geometric variation of range migration caused by multilayer media. The theory of the algorithm is analyzed and the implementation steps of the algorithm are given in this paper, and the algorithm is applied to point targets simulation and ice-sounding data experiment, which verifies the effectiveness of the algorithm in imaging of ice-sounding data. Furthermore, the results of the proposed algorithm with those of the existing ice-sounding radar processing algorithms are compared in three aspect of azimuth clutter suppression ability, computing time and azimuth resolution ability, which verifies this algorithm can effectively improve the computational efficiency without reducing the azimuth clutter suppression ability and azimuth resolution.
- Synthetic Aperture Radar(SAR) /
- Ice-sounding data /
- Ultra-WideBand(UWB) /
- Fast back-projection

HTML全文

图 1 空气-冰层多层媒质的几何关系示意图

下载: 全尺寸图片幻灯片

图 2 原始数据与最终图像以及子图像序列的关系示意图

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图 3 基于快速后向投影的超宽带冰雷达成像算法流程图

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图 4 仿真中使用的点目标位置

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图 5 点目标分析

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图 6 点目标方位向剖面图

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图 7 点目标距离向对比剖面图

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图 8 实验中处理的测线位置

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图 9 测线T1T1′的各算法的实验结果

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图 10 测线T2T2′的各算法的实验结果

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图 11 单道对比结果

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表 1 仿真参数

参数名称	参数值
雷达类型	线性调频脉冲
射频载波频率	60 MHz
发射脉冲持续时间	1 μs
信号带宽	15 MHz
距离向采样率	50 MHz
脉冲重复频率	195 Hz
雷达平台速度	90 m/s
雷达平台高度	600 m
合成孔径长度	3985 m

下载: 导出CSV

表 2 点目标处理测量结果

方法名称	方位向分辨率(3dB宽度)(m)	方位向杂波抑制能力	计算时间(s)
基于快速后向投影的超宽带冰雷达成像算法	1.34	冰面点目标受到抑制	2195.04
多子孔径时域后向投影算法	84.96	冰面点目标受到抑制	2080.20
冰雷达直接后向投影算法	1.22	冰面点目标受到抑制	12464.34
匹配滤波算法	1.22	冰面点目标受到抑制	1827.86

下载: 导出CSV

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