蒋李兵,
王壮,
国防科技大学自动目标识别重点实验室 长沙 410073
基金项目:国家部委基金，国防科技重点实验室基金(6142503180202)
详细信息
作者简介:郑通：郑 通(1995–)，女，云南瑞丽人。2017年在国防科技大学获得学士学位，现在国防科技大学自动目标识别重点实验室攻读硕士研究生，主要研究方向为雷达信息处理与目标识别技术。E-mail: zerothousand_zt@163.com
蒋李兵(1982–)，男，江苏启东人。2014年在国防科技大学获得博士学位，现任国防科技大学电子科学学院自动目标识别重点实验室讲师，主要研究方向为电磁散射建模、微波成像和雷达图像解译。Email: jianglibing@nudt.edu.cn
王壮：王 壮(1973–)，男，陕西西安人。2001年在国防科技大学获得博士学位，现任国防科技大学自动目标识别重点实验室教授，博士生导师，主要研究方向为雷达信息处理、空间目标监视、目标识别。Email: zhuang_wang@sina.com
通讯作者:王壮 zhuang_wang@sina.com
责任主编：许小剑 Corresponding Editor: XU Xiaojian中图分类号:TN95
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出版历程
收稿日期:2019-07-16
修回日期:2019-09-26
网络出版日期:2019-10-16
Three-dimensional Multiple-Input Multiple-Output Radar Imaging Method Based on Integration of Multi-snapshot Images
ZHENG Tong,JIANG Libing,
WANG Zhuang,
National Key Laboratory of Science and Technology on ATR, National University of Defense Technology, Changsha 410073, China
Funds:The National Ministries Foundation, The Key Laboratory Foundation of National Defense Science and Technology (6142503180202)
More Information
Corresponding author:WANG Zhuang, zhuang_wang@sina.com
摘要
摘要:为了提高多输入多输出(MIMO)雷达三维成像沿运动方向的方位分辨率，该文从多快拍图像联合利用的角度入手，提出一种新的多输入多输出-逆合成孔径雷达(MIMO-ISAR)三维成像方法。其基本思路是通过对一段时间观测下二维平面阵列获取的多个单快拍三维图像进行相干处理，沿着散射点线性拟合的方向提取峰值并重构出新的三维图像。仿真实验结果表明，与单快拍三维成像方法相比，该方法可以显著提高成像结果沿运动方向的方位分辨率；与现有基于重排和插值的经典MIMO-ISAR方法相比，该方法对慢速和快速运动目标均适用，得到的成像结果聚焦良好并能够有效抑制沿运动方向的旁瓣。
关键词:多输入多输出雷达/
三维成像/
多输入多输出-逆合成孔径雷达成像/
多快拍联合/
多普勒线性拟合
Abstract:To improve the cross-range resolution of three-dimensional (3-D) images obtained along the direction of movement by Multiple-Input Mmultiple-Output (MIMO) radar, a novel MIMO-ISAR 3-D imaging method that combines multi-snapshot images is proposed. This method integrates multiple single-snapshot 3-D images acquired by a planar antenna array during a specific period of observation and extracts the peak slice along the linear fitting direction of the scatterers to construct a new 3-D image. The simulation results demonstrated that the proposed method significantly improves the cross-range resolution of the imaging results along the direction of movement compared with other methods based on single-snapshot 3-D images. Additionally, compared with the classical MIMO-ISAR method based on rearrangement and interpolation, this method is suitable for both fast-moving and slow-moving targets. Moreover, the imaging results are well focused and the side lobes along the direction of movement are effectively suppressed.
Key words:Multiple-Input Multiple-Output (MIMO) radar/
Three-dimensional imaging/
Multiple-Input Multiple-Output Inverse Synthetic Aperture Radar (MIMO-ISAR) imaging/
Multi-snapshot images integration/
Doppler linear fitting
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