基于弹跳射线法的海面舰船目标三维散射中心快速建模方法

闫华 陈勇 李胜 胡利平 李焕敏 殷红成

闫华, 陈勇, 李胜, 等. 基于弹跳射线法的海面舰船目标三维散射中心快速建模方法[J]. 雷达学报, 2019, 8(1): 107–116. doi: 10.12000/JR18078
引用本文: 闫华, 陈勇, 李胜, 等. 基于弹跳射线法的海面舰船目标三维散射中心快速建模方法[J]. 雷达学报, 2019, 8(1): 107–116. doi: 10.12000/JR18078
YAN Hua, CHEN Yong, LI Sheng, et al. A fast algorithm for establishing 3-D scattering center model for ship targets over sea surface using the shooting and bouncing ray technique[J]. Journal of Radars, 2019, 8(1): 107–116. doi: 10.12000/JR18078
Citation: YAN Hua, CHEN Yong, LI Sheng, et al. A fast algorithm for establishing 3-D scattering center model for ship targets over sea surface using the shooting and bouncing ray technique[J]. Journal of Radars, 2019, 8(1): 107–116. doi: 10.12000/JR18078

基于弹跳射线法的海面舰船目标三维散射中心快速建模方法

doi: 10.12000/JR18078
基金项目: 国家自然科学基金(61490690, 61490695),国防基础科研计划(JCKY2016204C302)
详细信息
    作者简介:

    闫 华(1981–),男,电磁散射重点实验室高级工程师,中国传媒大学信息工程学院在职博士生。研究方向为雷达目标散射特性、计算电磁学、特征提取、参数化建模等。E-mail: yanhuabit@126.com

    陈 勇(1983–),男,硕士,电磁散射重点实验室高级工程师,研究方向为目标与环境电磁散射理论建模与数值计算。E-mail: yonche@163.com

    李 胜(1980–),男,硕士,电磁散射重点实验室高级工程师,研究方向为雷达目标特征控制、特征提取等。E-mail: lisheng2008@sina.com

    胡利平(1979–),女,博士,电磁散射重点实验室高级工程师,研究方向为SAR图像处理、目标检测与目标识别等。E-mail: fox_plh@163.com

    李焕敏(1987–),女,硕士,电磁散射重点实验室工程师,研究方向为雷达目标散射特性、舰船目标建模、目标模拟等。E-mail: huanminli@126.com

    殷红成(1967–),男,博士,电磁散射重点实验室研究员,研究方向为雷达目标特性、计算电磁学、目标识别等。E-mail: yinhc207@126.com

    通讯作者:

    闫华   yanhuabit@126.com

  • 中图分类号: TN95

A Fast Algorithm for Establishing 3-D Scattering Center Model for Ship Targets over Sea Surface Using the Shooting and Bouncing Ray Technique

Funds: The National Natural Science Foundation of China (61490690, 61490695), Defense Industrial Technology Development Program (JCKY2016204C302)
More Information
  • 摘要: 海面舰船目标3维散射中心的快速建模对雷达目标信号快速仿真、特征提取与分类识别等应用具有重要意义。该文结合目标-海面耦合散射的“4路径”模型、随机海面散射修正Fresnel反射系数模型,以及基于射线管积分的快速3维成像等模型与方法,提出一种舰船-海面复合的快速3维成像方法,并通过CLEAN算法建立一种3维散射中心快速建模算法。该算法由于实现了单频、单视角条件下的目标3维成像,并且采用简化的海面模型避免了大量海面面元的构建,因而大大提高了3维散射中心建模的计算效率,从而满足实际工程应用的需求。典型海面舰船目标仿真实验结果表明,与传统基于FFT的3维成像算法相比,在典型计算条件下该算法的计算效率可提高4个数量级。不同海情下,3维散射中心重建的与直接仿真计算的1维距离像历程图和2维像的对比结果,也验证了算法的计算精度。

     

  • 图  1  海面目标散射的“4路径”模型

    Figure  1.  “Four Path” model for target-surface coupling scattering

    图  2  “准镜像”处理方法

    Figure  2.  “Quasi-image” method

    图  3  海面舰船目标3维散射中心快速建模算法流程图

    Figure  3.  The flow chart of fast algorithm to establish 3-D scattering center model for ship target over sea surface

    图  4  海面舰船几何场景

    Figure  4.  The geometrical scene of a ship target over sea surface

    图  5  舰船目标网格模型

    Figure  5.  The Mesh-grid model of the ship

    表  1  全方位(0°~360°)合成显示的3维散射中心模型及其重建的1维距离像历程图的重构度评估

    Table  1.   Display of synthesized 3D scattering center model at various azimuth (0°~360°) and comparison of sinograms calculated by direct simulation and rebuilt by the models

    3维散射中心分布仿真的1维距离像历程图模型重建的1维距离像历程图相似度(%)
    89.55
    下载: 导出CSV

    表  2  不同海情下3维散射中心模型及其重建的2维ISAR像重构度评估(方位90°)

    Table  2.   Display of 3D scattering center models and comparison of ISAR images calculated by direct simulation and rebuilt by the models under different sea conditions at azimuth 90°

    海情等级3维散射中心分布仿真的2维像模型重建的2维像相似度(%)
    0级89.66
    1级82.89
    2级81.75
    3级81.76
    下载: 导出CSV

    表  3  不同入射方位下3维散射中心模型及其重建的2维ISAR像重构度评估(1级海情)

    Table  3.   Display of 3D scattering center models and comparison of ISAR images calculated by direct simulation and rebuilt by the models at different azimuth under level-1 sea condition

    方位角(°)3维散射中心分布仿真的2维像模型重建的2维像相似度(%)
    3079.11
    6079.89
    12086.25
    15086.23
    下载: 导出CSV

    表  4  3维散射中心计算效率对比(以用于计算3维散射中心的3维成像分辨率取0.1 m×0.1 m×0.1 m为例)

    Table  4.   Comparison of computation time by traditional algorithm and proposed algorithm (take the resolution 0.1 m×0.1 m×0.1 m in 3D images as example)

    方法模块计算条件计算时间(min)总计效率提高比
    传统算法SBR:计算扫频扫角RCS幅相数据采样点个数:频率600,方位600,俯仰60036000036000872000倍
    3D-FFT:计算3维像点数:20485
    CLEAN:提取3维散射中心动态范围:50 dB3
    本文算法3D-RIM:直接计算3维像采样点个数:频率1,方位1,俯仰125
    CLEAN:提取3维散射中心动态范围:50 dB3
    注: RIM表示射线积分方法(Ray-tube Integration Method)
    下载: 导出CSV
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出版历程
  • 收稿日期:  2018-09-20
  • 修回日期:  2018-10-29
  • 网络出版日期:  2019-02-28

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