基于GRT-CLEAN的高速旋转目标快速三维成像方法

王会; 巨欢; 方阳; 李荣旭; 王保平

doi:10.3788/YJYXS20183303.0228

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基于GRT-CLEAN的高速旋转目标快速三维成像方法

图像处理 | 更新时间：2020-07-06

- 基于GRT-CLEAN的高速旋转目标快速三维成像方法
- Fast 3 D imaging algorithm for high-speed spinning targets based on GRT-CLEAN
- 液晶与显示 2018年33卷第3期页码：228-237
- 作者机构：
  
  1.西北工业大学研究生院, 陕西西安 710072
  2.陕西法士特齿轮有限责任公司, 陕西西安 710119
  3.西北工业大学无人机重点实验室, 陕西西安 710065
- 作者简介：
  
  [ "王会(1990-), 男, 陕西延安人, 助教, 2016年毕业于西北工业大学获得硕士学位, 主要从事信号处理、图像处理方面研究。E-mail:wanghui0608@nwpu.edu.cn" ]
- 基金信息：
  
  国家自然科学基金(61472324);National Natural Science Foundation of China(61472324)
- DOI：10.3788/YJYXS20183303.0228
  中图分类号： TN957
- 收稿日期：2018-01-03，
  
  录用日期：2018-2-10，
  
  纸质出版日期：2018-03-05
- 稿件说明：
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王会, 巨欢, 方阳, 等. 基于GRT-CLEAN的高速旋转目标快速三维成像方法[J]. 液晶与显示, 2018,33(3):228-237.

Hui WANG, Huan JU, Yang FANG, et al. Fast 3 D imaging algorithm for high-speed spinning targets based on GRT-CLEAN[J]. Chinese journal of liquid crystals and displays, 2018, 33(3): 228-237.
王会, 巨欢, 方阳, 等. 基于GRT-CLEAN的高速旋转目标快速三维成像方法[J]. 液晶与显示, 2018,33(3):228-237. DOI： 10.3788/YJYXS20183303.0228.

Hui WANG, Huan JU, Yang FANG, et al. Fast 3 D imaging algorithm for high-speed spinning targets based on GRT-CLEAN[J]. Chinese journal of liquid crystals and displays, 2018, 33(3): 228-237. DOI： 10.3788/YJYXS20183303.0228.

摘要

针对传统高速旋转目标三维成像算法存在成像效果差、计算复杂度大、鲁棒性差的缺点，本文提出一种加速的GRT-CLEAN高速自旋目标三维成像方法。采用广义Radan变换（GRT）与CLEAN技术相结合的方法进行目标三维特征提取，实现高分辨精确目标成像；采用"先粗网格，后精确网格"的策略，分两步对散射点目标进行估计，降低计算复杂度，计算复杂度从

（

）降为

（10

-4

），大幅提高成像速度。仿真实验与数值分析验证了本文所提方法的有效性。实验结果表明，本文所提成像在低信噪比和目标存在遮挡的情况下，依然能对目标进行有效成像；与传统的GRT-CLEAN成像方法相比，本文所提成像方法大幅降低计算复杂度。

Abstract

In order to overcome the shortcomings of traditional 3D imaging algorithms for high-speed spinning targets

such as high computational complexity

poor imaging result and robustness

a fast 3D imaging algorithm based on GRT-CLEAN is developed. First

the 3D features of the target are extracted with the combination of generalized Radan transform(GRT) and CLEAN technology which could obtain a high resolution image. Then

the scattering targets are estimated with two separate grid sequentially (from coarse grid to fine grid)

which could reduce the computational complexity and speed up the imaging process. The effectiveness of the current 3D imaging algorithm is verified by the simulation experiment and numerical analysis. Results show that the present 3D imaging algorithm based on GRT-CLEAN can obtain an effective image under the circumstances of low signal-to-noise ratio and no target occultation

and greatly reduce the computational complexity compared with the traditional GRE-CLEAN imaging method.

关键词

Keywords

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