• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

基于超高速度平台的新型多角度 SAR 成像系统与方法

A Novel Multi-Angle SAR Imaging System and Method Based on an Ultrahigh Speed Platform.

机构信息

National Laboratory of Radar Signal Processing, Xidian University, Xi'an 710071, China.

出版信息

Sensors (Basel). 2019 Apr 10;19(7):1701. doi: 10.3390/s19071701.

DOI:10.3390/s19071701
PMID:30974738
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6480237/
Abstract

Considering the difficulty of pulse repetition frequency (PRF) design in multi-angle SAR when using ultra-high speed platforms, a multi-angle SAR imaging system in a unified coordinate system is proposed. The digital multi-beamforming is used in the system and multi-angle SAR data can be obtained in one flight. Therefore, the system improves the efficiency of data recording. An improved range migration algorithm (RMA) is used for data processing, and imaging is made in a unified imaging coordinate system. The resolution of different view images is the same, and there is a fixed delay between the images. On this basis, the SAR image fusion is performed after image matching. The results of simulation and measured data confirm the effectiveness of the system and the method.

摘要

考虑到使用超高飞行速度平台时多视角 SAR 的脉冲重复频率(PRF)设计的困难,提出了一种统一坐标系下的多视角 SAR 成像系统。该系统采用数字多波束形成技术,可在一次飞行中获取多角度 SAR 数据,从而提高了数据记录的效率。采用改进的距离徙动算法(RMA)进行数据处理,并在统一成像坐标系中进行成像。不同视角图像的分辨率相同,并且图像之间存在固定的延迟。在此基础上,进行图像匹配后进行 SAR 图像融合。仿真和实测数据的结果验证了系统和方法的有效性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f40a/6480237/90431074751e/sensors-19-01701-g018.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f40a/6480237/8988f46b80fc/sensors-19-01701-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f40a/6480237/bdfbad2b425c/sensors-19-01701-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f40a/6480237/726fac6bc480/sensors-19-01701-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f40a/6480237/4a61faa29257/sensors-19-01701-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f40a/6480237/77ea712a7d7c/sensors-19-01701-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f40a/6480237/dcbdf29a44f1/sensors-19-01701-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f40a/6480237/7a011d181a98/sensors-19-01701-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f40a/6480237/dc4e3684df39/sensors-19-01701-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f40a/6480237/c90f572ffd90/sensors-19-01701-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f40a/6480237/68b7a47e5324/sensors-19-01701-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f40a/6480237/1cc1d95a8aa3/sensors-19-01701-g011a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f40a/6480237/6b3279c63d26/sensors-19-01701-g012a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f40a/6480237/7152ee211145/sensors-19-01701-g013a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f40a/6480237/11227f9925bb/sensors-19-01701-g014a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f40a/6480237/84fb5a03df7f/sensors-19-01701-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f40a/6480237/d61822b1bc8b/sensors-19-01701-g016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f40a/6480237/cd6973145265/sensors-19-01701-g017.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f40a/6480237/90431074751e/sensors-19-01701-g018.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f40a/6480237/8988f46b80fc/sensors-19-01701-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f40a/6480237/bdfbad2b425c/sensors-19-01701-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f40a/6480237/726fac6bc480/sensors-19-01701-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f40a/6480237/4a61faa29257/sensors-19-01701-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f40a/6480237/77ea712a7d7c/sensors-19-01701-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f40a/6480237/dcbdf29a44f1/sensors-19-01701-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f40a/6480237/7a011d181a98/sensors-19-01701-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f40a/6480237/dc4e3684df39/sensors-19-01701-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f40a/6480237/c90f572ffd90/sensors-19-01701-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f40a/6480237/68b7a47e5324/sensors-19-01701-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f40a/6480237/1cc1d95a8aa3/sensors-19-01701-g011a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f40a/6480237/6b3279c63d26/sensors-19-01701-g012a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f40a/6480237/7152ee211145/sensors-19-01701-g013a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f40a/6480237/11227f9925bb/sensors-19-01701-g014a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f40a/6480237/84fb5a03df7f/sensors-19-01701-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f40a/6480237/d61822b1bc8b/sensors-19-01701-g016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f40a/6480237/cd6973145265/sensors-19-01701-g017.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f40a/6480237/90431074751e/sensors-19-01701-g018.jpg

相似文献

1
A Novel Multi-Angle SAR Imaging System and Method Based on an Ultrahigh Speed Platform.基于超高速度平台的新型多角度 SAR 成像系统与方法
Sensors (Basel). 2019 Apr 10;19(7):1701. doi: 10.3390/s19071701.
2
High-Temporal-Resolution High-Spatial-Resolution Spaceborne SAR Based on Continuously Varying PRF.基于连续可变脉冲重复频率的高时间分辨率高空间分辨率星载合成孔径雷达
Sensors (Basel). 2017 Jul 25;17(8):1700. doi: 10.3390/s17081700.
3
A robust channel-calibration algorithm for multi-channel in azimuth HRWS SAR imaging based on local maximum-likelihood weighted minimum entropy.基于局部最大似然加权最小熵的多通道方位高分辨率合成孔径雷达成像稳健通道校准算法。
IEEE Trans Image Process. 2013 Dec;22(12):5294-305. doi: 10.1109/TIP.2013.2274387.
4
Image reconstruction algorithm based on frequency-wavenumber decoupling for three-dimensional MIMO-SAR imaging.基于频率-波数解耦的三维MIMO-SAR成像图像重建算法
Opt Express. 2020 Jan 20;28(2):2411-2426. doi: 10.1364/OE.382857.
5
Focusing Bistatic FMCW SAR Signal by Range Migration Algorithm Based on Fresnel Approximation.基于菲涅尔近似的距离徙动算法聚焦双基地调频连续波合成孔径雷达信号
Sensors (Basel). 2015 Dec 21;15(12):32123-37. doi: 10.3390/s151229910.
6
[Multi-angle Plane-wave Beamforming Algorithm Based on CUDA].基于CUDA的多角度平面波波束形成算法
Zhongguo Yi Liao Qi Xie Za Zhi. 2018 Sep 30;42(5):317-320. doi: 10.3969/j.issn.1671-7104.2018.05.002.
7
Reconnaissance with slant plane circular SAR imaging.倾斜面圆 SAR 成像侦察。
IEEE Trans Image Process. 1996;5(8):1252-65. doi: 10.1109/83.506760.
8
Multichannel High Resolution Wide Swath SAR Imaging for Hypersonic Air Vehicle with Curved Trajectory.用于具有弯曲轨迹的高超声速飞行器的多通道高分辨率宽测绘带合成孔径雷达成像
Sensors (Basel). 2018 Jan 31;18(2):411. doi: 10.3390/s18020411.
9
Unambiguous Forward-Looking SAR Imaging on HSV-R Using Frequency Diverse Array.基于频变阵列的 HSV-R 无歧义前视 SAR 成像
Sensors (Basel). 2020 Feb 20;20(4):1169. doi: 10.3390/s20041169.
10
An Improved RD Algorithm for Maneuvering Bistatic Forward-Looking SAR Imaging with a Fixed Transmitter.一种用于固定发射机的机动双基地前视SAR成像的改进RD算法。
Sensors (Basel). 2017 May 19;17(5):1152. doi: 10.3390/s17051152.

引用本文的文献

1
Special Issue "Synthetic Aperture Radar (SAR) Techniques and Applications".特刊征稿:合成孔径雷达(SAR)技术及应用
Sensors (Basel). 2020 Mar 27;20(7):1851. doi: 10.3390/s20071851.
2
A Target Identification Method for the Millimeter Wave Seeker via Correlation Matching and Beam Pointing.一种基于相关匹配和波束指向的毫米波导引头目标识别方法。
Sensors (Basel). 2019 Jun 3;19(11):2530. doi: 10.3390/s19112530.