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GPU加速条件下基于相位补偿反投影算法的太赫兹ISAR成像

梁美彦 任竹云 李光辉 张存林 Aly.E.Fathy

红外与毫米波学报2022,Vol.41Issue(2):448-456,9.
红外与毫米波学报2022,Vol.41Issue(2):448-456,9.DOI:10.11972/j.issn.1001-9014.2022.02.011

GPU加速条件下基于相位补偿反投影算法的太赫兹ISAR成像

THz ISAR imaging using GPU-accelerated phase compensated back projection algorithm

梁美彦 1任竹云 1李光辉 1张存林 2Aly.E.Fathy3

作者信息

  • 1. 山西大学物理电子工程学院,山西太原030006
  • 2. 首都师范大学物理系,北京100048
  • 3. 田纳西大学电气工程与计算机科学系,美国诺克斯维尔,37996-2250
  • 折叠

摘要

Abstract

Here,we present our implementation of two-dimensional(2D)high-resolution inverse synthetic aper?ture radar(ISAR)imaging using a 0. 22 THz stepped-frequency(SF)radar system. The system is suitable for both near- and far-field imaging with a synthesis bandwidth of 12 GHz. The radar can provide highly accurate range and cross-range results in the near field,and its ISAR image can reach centimeter-level resolution upon us?ing a phase-compensated Back-Projection algorithm(BP algorithm). These BP-realized results indicate that THz ISAR imaging can achieve both higher precision and finer resolution when compared to previously demonstrated range-doppler(RD)results with the same SFCW radar setup. To accelerate BP's relatively slow image retrieval process,we employ accelerated platforms based on a graph-processing unit(GPU). Such success should pave the way for further research on near-field high-resolution radar imaging especially at THz/sub-millimeter bands.

关键词

太赫兹/ISAR成像/BP算法/高分辨率

Key words

THz/inverse synthetic aperture radar (ISAR) imaging/Back-Projection (BP) algorithm/high-resolution

分类

信息技术与安全科学

引用本文复制引用

梁美彦,任竹云,李光辉,张存林,Aly.E.Fathy..GPU加速条件下基于相位补偿反投影算法的太赫兹ISAR成像[J].红外与毫米波学报,2022,41(2):448-456,9.

基金项目

Supported by National Natural Science Foundation of China(11804209),Natural Science Foundation of Shanxi Province under(201901D211173),Scientific and Technological Innovation Programs of Higher Education Institutions in Shanxi(2019 L0064). (11804209)

红外与毫米波学报

OA北大核心CSCDCSTPCDSCI

1001-9014

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