Space-Based THz Radar Fly-Around Imaging Simulation for Space Targets Based on Improved Path Tracing

Author:

Ning Qianhao1,Wang Hongyuan1,Yan Zhiqiang1ORCID,Liu Xiang1,Lu Yinxi1

Affiliation:

1. Space Optical Engineering Research Center, Harbin Institute of Technology, Harbin 150001, China

Abstract

Aiming at the space target detection application of a space-based terahertz (THz) radar, according to the imaging mechanism of broadband THz radars, a THz radar imaging simulation method based on improved path tracing is proposed. Firstly, the characterization method of THz scattering characteristics based on Kirchhoff’s approximation method is introduced. The multi-parameter THz bidirectional reflectance distribution function (THz-BRDF) models of aluminum (Al), white-painted Al, and polyimide film at 0.215 THz are fitted according to the theoretical data, with fitting errors below 4%. Then, the THz radar imaging simulation method based on improved path tracing is presented in detail. The simulation method utilizes path tracing to simulate parallelized THz radar echo signal data, considering multi-path energy scattering based on the THz-BRDF model. Finally, we conducted THz radar imaging simulation experiments. The influences in the imaging process of different fly-around motions are analyzed, and a comparison experiment is conducted with the fast-physical optics (FPO) method. The comparative results indicate that the proposed method exhibits richer and more realistic features compared with the FPO method. The simulation experiments results demonstrate that the proposed method can provide a data source for ground algorithm testing of THz radars, particularly in evaluating the target detection and recognition algorithm based on deep learning, providing strong support for the application of space-based THz radars in the future.

Funder

National Natural Science Foundation of China

Publisher

MDPI AG

Subject

General Earth and Planetary Sciences

Reference37 articles.

1. Scott, R., and Thorsteinson, S. (2018, January 11–14). Key Findings from the NEOSSat Space-Based SSA Microsatellite Mission. Proceedings of the Advanced Maui Optical and Space Surveillance Technologies Conference, Maui, HI, USA. Available online: www.amostech.com.

2. Ender, J., Leushacke, L., Brenner, A., and Wilden, H. (2011, January 7–9). Radar techniques for space situational awareness. Proceedings of the 2011 12th International Radar Symposium (IRS), Leipzig, Germany.

3. Review on strategies of space-based optical space situational awareness;Yunpeng;J. Syst. Eng. Electron.,2021

4. Speretta, S. (2023, January 24–26). Space Surveillance Network Capabilities Evaluation Mission. Proceedings of the 2nd NEO and Debris Detection Conference, Darmstadt, Germany. Available online: https://conference.sdo.esoc.esa.int/proceedings/neosst2/paper/127/NEOSST2-paper127.pdf.

5. Development of the Haystack Ultrawideband Satellite Imaging Radar;Czerwinski;Linc. Lab. J.,2014

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3