SIA OpenIR  > 光电信息技术研究室
Alternative TitleResearch on High Resolution Terahertz 3D Imaging algorithm
Thesis Advisor祁峰
Keyword太赫兹技术 三维重建算法 逆合成孔径雷达成像算法 广义矩阵束算法
Degree Discipline检测技术与自动化装置
Degree Name硕士
Degree Grantor中国科学院沈阳自动化研究所
Place of Conferral沈阳
Other AbstractDue to the unique optical and electromagnetic characteristics of terahertz wave, its imaging technology has become one of the important parts in the application field of terahertz. However, in terms of imaging algorithms, there are many problems that need to be solved. The main challenge at the current stage of terahertz imaging is how to achieve an image with high signal-to-noise ratio and sufficient spatial resolution, and real-time performance to overcome long scan time. The main content of this paper is the high resolution terahertz three-dimensional imaging algorithm. The main work of the thesis is as follows: Firstly, the inverse synthetic aperture radar (ISAR) imaging algorithm is analyzed, and it is used the terahertz imaging field. The imaging principle and algorithm flow are derived. The relevant experiments are designed to obtain echo signal data, which is processed based on MATLAB, and the algorithm is reproduced and optimized. The 3-D imaging data is enhanced, denoised and processed to enable the SAR algorithm to successfully reconstruct the terahertz near-field reflective target. Secondly, aiming at the requirements of radial super-resolution reconstruction in practical projects, and analyzing the limitations of the radial resolution of traditional ISAR algorithm reconstruction results, a new imaging algorithm for point-by-point search target scattering points, the generalized pencil of function (GPOF) algorithm, is proposed. In this study, the imaging experiment was designed to obtain the real scanning data, and the feasibility of the algorithm applied to THz near-field reflection imaging was verified. The imaging results were compared and analyzed, and the improvement direction and method were proposed. Finally, an optimization method is proposed for the problem that the orientation of the newly proposed GPOF algorithm is not focused and affects the accuracy of the overall three-dimensional imaging. The numerical focusing method of distance migration in traditional SAR is combined with GPOF algorithm to solve the problems encountered in the process of reconstructing ISAR data. The experimental results show that the fusion algorithm is feasible and can reconstruct the 3D target image completely and clearly, which is suitable for terahertz band 3D imaging. Compared with the existing terahertz imaging algorithm, the fusion algorithm has the advantages of high resolution, fast reconstruction speed and simple imaging equipment.
Contribution Rank1
Document Type学位论文
Recommended Citation
GB/T 7714
雷静. 高分辨率太赫兹三维成像算法研究[D]. 沈阳. 中国科学院沈阳自动化研究所,2019.
Files in This Item:
File Name/Size DocType Version Access License
高分辨率太赫兹三维成像算法研究.pdf(3766KB)学位论文 开放获取CC BY-NC-SAApplication Full Text
Related Services
Recommend this item
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[雷静]'s Articles
Baidu academic
Similar articles in Baidu academic
[雷静]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[雷静]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.