基于改进SBR的舰船SAR成像快速仿真计算方法

章琪琪; 张寅; 范君杰; 夏翀翔; 闫钧华

doi:10.12263/DZXB.20221046

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基于改进SBR的舰船SAR成像快速仿真计算方法

学术论文 | 更新时间：2025-12-11

- 基于改进SBR的舰船SAR成像快速仿真计算方法
- A Fast SAR Imaging Simulation Method of Ship Targets Based on Improved SBR
- 电子学报 2024年52卷第2期页码：602-613
- 作者机构：
  
  1.南京航空航天大学空间光电探测与感知工业和信息化部重点实验室,江苏南京 211106
  2.南京航空航天大学航天学院,江苏南京 211106
  3.上海卫星工程研究所,上海 200240
- 作者简介：
  
  [ "章琪琪男，1999年出生，浙江温州人.2021年于南京航空航天大学获得学士学位现为南京航空航天大学硕士研究生.主要研究方向为图像仿真. E-mail: 15167823385@163.com" ]
  [ "张寅男，1986年出生，江苏镇江人.2009年于吉林大学获得学士学位，2011年于哈尔滨工业大学获得硕士学位，2016年于哈尔滨工业大学获得博士学位.现为南京航空航天大学副教授.主要研究方向为光电探测信息仿真与处理. E-mail: zhangyin1986@nuaa.edu.cn" ]
- 基金信息：
  
  中央高校基本科研业务费(NJ2022025)
- DOI：10.12263/DZXB.20221046
  中图分类号： O441.4;O451;TP391
- 收稿：2022-09-14，
  
  修回：2023-04-08，
  
  纸质出版：2024-02-25
- 稿件说明：
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章琪琪,张寅,范君杰,等.基于改进SBR的舰船SAR成像快速仿真计算方法[J].电子学报,2024,52(02):602-613.

ZHANG Qi-qi, ZHANG Yin, FAN Jun-jie, et al.A Fast SAR Imaging Simulation Method of Ship Targets Based on Improved SBR[J].Acta Electronica Sinica, 2024, 52(02): 602-613.
章琪琪,张寅,范君杰,等.基于改进SBR的舰船SAR成像快速仿真计算方法[J].电子学报,2024,52(02):602-613. DOI：10.12263/DZXB.20221046

ZHANG Qi-qi, ZHANG Yin, FAN Jun-jie, et al.A Fast SAR Imaging Simulation Method of Ship Targets Based on Improved SBR[J].Acta Electronica Sinica, 2024, 52(02): 602-613. DOI：10.12263/DZXB.20221046

摘要

针对SAR（Synthetic Aperture Radar）舰船成像仿真应用中电磁散射特性计算效率低下的问题，在现有SBR（Shooting and Bouncing Rays）算法的基础上，本文提出两方面改进.一是基于叶节点空间邻域编码搜索的射线管相交面元检测算法，通过只追踪射线管中心射线并搜索叶节点空间周围潜在相交面元，在有效提升相交检测速度的同时避免遗漏相交面元；二是射线管三角剖分快速分裂算法，将射线管和相交面元投影至射线管虚拟孔径面，利用Delaunay三角剖分算法自适应地将射线管快速分裂成连续的子射线管.对典型舰船目标进行RCS（Radar Cross Section）计算及SAR成像仿真实验，结果表明，在保证计算精度的前提下，本文方法计算效率比Kd树（K-dimension tree）加速SBR方法提升14倍以上，比经典自适应射线管分裂SBR方法提升3倍以上，计算效率显著提高.

Abstract

Aiming at the problem of low efficiency of electromagnetic scattering characteristics calculation in synthetic aperture radar (SAR) ship imaging simulation applications

two points of improvement based on the existing shooting and bouncing rays (SBR) technique are proposed in this work. Firstly

a ray tube intersecting surface panel detection algorithm with leaf node spatial neighborhood coding search is constructed

which effectively improves the intersection detection speed while avoiding missing intersecting panels by tracing only the center ray of the ray tube and searching for potential intersecting panels around the leaf node space. Secondly

a fast splitting technique for ray tube triangulation is introduced to project the ray tube and the intersecting panels to the ray tube’s virtual aperture surface

and adaptively split the ray tube into consecutive sub-ray tubes by using the Delaunay triangulation algorithm. Finally

the radar cross section (RCS) calculation and SAR imaging simulation experiments are carried out on typical ship targets. The experimental results show that under the premise of ensuring the accuracy

the efficiency of the proposed method is improved by more than 14 times than that of the Kd (K-dimension) tree accelerated SBR and by more than 3 times compared with the classical adaptive ray tube splitting SBR

showing that the computational efficiency is significantly promoted.

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references

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