基于多径模型的建筑区SAR三维成像中非视距目标重定位方法

林雨青 仇晓兰 彭凌霄 李杭 丁赤飚

林雨青, 仇晓兰, 彭凌霄, 等. 基于多径模型的建筑区SAR三维成像中非视距目标重定位方法[J]. 雷达学报(中英文), 待出版. doi: 10.12000/JR24057
引用本文: 林雨青, 仇晓兰, 彭凌霄, 等. 基于多径模型的建筑区SAR三维成像中非视距目标重定位方法[J]. 雷达学报(中英文), 待出版. doi: 10.12000/JR24057
LIN Yuqing, QIU Xiaolan, PENG Lingxiao, et al. Non-line-of-sight target relocation by multipath model in SAR 3D urban area imaging[J]. Journal of Radars, in press. doi: 10.12000/JR24057
Citation: LIN Yuqing, QIU Xiaolan, PENG Lingxiao, et al. Non-line-of-sight target relocation by multipath model in SAR 3D urban area imaging[J]. Journal of Radars, in press. doi: 10.12000/JR24057

基于多径模型的建筑区SAR三维成像中非视距目标重定位方法

doi: 10.12000/JR24057
基金项目: 国家自然科学基金重大项目(61991421, 61991424, 61991420)
详细信息
    作者简介:

    林雨青,博士生,主要研究方向为SAR三维成像处理、多径利用雷达等

    仇晓兰,研究员,博士生导师,主要研究方向为SAR成像处理、SAR图像理解

    彭凌霄,助理研究员,主要研究方向为SAR图像信息处理和应用、SAR仿真技术

    李 杭,副研究员,主要研究方向为阵列干涉SAR成像处理

    丁赤飚,研究员,博士生导师,中国科学院院士,主要研究方向为合成孔径雷达、遥感信息处理和应用系统等

    通讯作者:

    仇晓兰 qiuxl@aircas.ac.cn

  • 责任主编:罗迎 Corresponding Editor: LUO Ying
  • 中图分类号: TN957.52

Non-Line-of-Sight Target Relocation by Multipath Model in SAR 3D Urban Area Imaging

Funds: The National Natural Science Foundation of China (61991421, 61991424, 61991420)
More Information
  • 摘要: 随着合成孔径雷达(SAR)系统小型化技术、SAR三维成像技术的发展,当前已可利用无人机载小型化阵列干涉SAR实现城区三维成像,在城市测绘、复杂环境重建等领域具有重要应用前景。然而,SAR进行城市场景三维成像时,回波中存在多径信号,会导致成像结果解译困难,却也给非视距区域隐蔽目标的发现提供了重要手段。为此,该文针对低空无人机载阵列干涉SAR建筑区三维成像中的非视距目标进行了研究,建立了非视距目标在低空阵列干涉三维成像下的多径模型,给出了城市峡谷区域利用多径扩大可视范围的计算方法,并基于建筑平面拟合提出了非视距目标重定位方法。无人机载阵列干涉SAR的仿真和实际数据处理验证表明,所提出的方法可以对城市峡谷非视距目标进行有效的三维成像和重定位,重定位误差小于0.5 m,实现了对非视距区域信息的获取。

     

  • 图  1  城市场景下非视距场景示意图

    Figure  1.  Schematic diagram of the NLOS scene in an urban scenario

    图  2  阵列干涉SAR三维成像非视距目标重定位流程框图

    Figure  2.  Flowchart of NLOS target relocation in array-InSAR 3D imaging

    图  3  城市场景阵列干涉SAR成像模型

    Figure  3.  Array-InSAR imaging model for urban scene

    图  4  城市场景下非视距范围示意图

    Figure  4.  Schematic diagram of the NLOS range in urban scenarios

    图  5  非视距多径可达区域计算流程图

    Figure  5.  Flowchart for calculating the NLOS multipath reachable area

    图  6  仿真及实际实验参数示意图

    Figure  6.  Schematic of simulation and real data experiment parameters

    图  7  建筑物仿真实验三维点云

    Figure  7.  3D point cloud of the urban canyon in simulation experiment

    图  8  单NLOS目标仿真实验三维点云对比图

    Figure  8.  Comparison of 3D point cloud for single NLOS target simulation experiment

    图  9  多NLOS目标仿真实验三维点云对比图

    Figure  9.  Comparison of 3D point cloud for multiple NLOS target simulation experiment

    图  10  MV3DSAR系统和实验场景说明

    Figure  10.  Illustration of the MV3DSAR system and experimental scenarios

    图  11  天津临港商务大楼SAR成像结果

    Figure  11.  SAR imaging results of Lingang Business Building

    图  12  天津实验SAR三维成像点云对比

    Figure  12.  Comparison of the SAR 3D imaging point clouds in Tianjin

    图  13  天津实验SAR三维成像点云俯视图对比

    Figure  13.  Comparison of the top view of the SAR 3D imaging point clouds in Tianjin

    图  14  苏州东西飞角反放置图以及实验现场图

    Figure  14.  Placement of multipath reflectors and experimental scene of the east-west flight in Suzhou

    图  15  苏州实验图和二维结果对应图

    Figure  15.  Optical image of Suzhou experiment and the corresponding 2D results

    图  16  苏州园区东西飞行多径示意图

    Figure  16.  Multipath diagram of east-west flight in Suzhou

    图  17  苏州东西飞行SAR三维成像结果

    Figure  17.  SAR 3D imaging results of east-west flights in Suzhou

    表  1  MV3DSAR实验参数(Ku波段)

    Table  1.   Parameters of the MV3DSAR experiment (Ku-band)

    参数 指标
    中心频率 15.2 GHz
    信号形式 调频连续波(FMCW)
    极化方式 全极化
    信号带宽 1200 MHz
    天线尺寸(单通道) 0.05 m(俯仰)×0.32 m(方位)
    分辨率 优于0.2 m×0.2 m
    中心视角 45°
    下载: 导出CSV

    表  2  平面拟合和成像位置误差分析

    Table  2.   Plane fitting and imaging position error analysis

    分析对象 ME (m) RMSE (m)
    楼面拟合 5.87e–13 0.6982
    峡谷长度拟合 0.3328 /
    非视距角反1 0.43 0.4201
    非视距角反2 0.41
    下载: 导出CSV
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出版历程
  • 收稿日期:  2024-04-01
  • 修回日期:  2024-05-06
  • 网络出版日期:  2024-06-12

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