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基于太赫兹ISAR图像序列的空间目标抛物面天线载荷指向估计

张野 杨潇 江新瑞 杨琪 邓彬 王宏强

红外与毫米波学报2021,Vol.40Issue(4):496-507,12.
红外与毫米波学报2021,Vol.40Issue(4):496-507,12.DOI:10.11972/j.issn.1001-9014.2021.04.009

基于太赫兹ISAR图像序列的空间目标抛物面天线载荷指向估计

Attitude direction estimation of space target parabolic antenna loads using sequential terahertz ISAR images

张野 1杨潇 1江新瑞 1杨琪 1邓彬 1王宏强1

作者信息

  • 1. 国防科技大学电子科学学院,湖南长沙 410073
  • 折叠

摘要

Abstract

To monitor the working state of a space target,attitude direction estimation of parabolic antenna loadsfrom a multi-view sequence of the terahertz(THz)inverse synthetic aperture radar(ISAR)images is developed. A space-based THz radar imaging system,which aims to achieve surveillance of high earth orbit satellite targets and small satellite targets,is proposed. Under the theorem that the projection of the parabolic antenna edge(a cir?cle)along arbitrary observation direction is an ellipse,an improved Randomized Hough Transform is proposed to automatically detect and calculate the five key parameters of ellipse components from each THz ISAR image. To ensure the efficiency,accuracy,and robustness of the estimated attitude direction,a two-level estimation algo?rithm is proposed. The radius and three-dimensional center location of the antenna edge are estimated first. Then, taking these parameters as prior information,the attitude direction is estimated by solving an optimization to mini?mize the joint error about the length of semi-minor axis and the inclination angle of an ellipse. Electromagnetic scattering data of satellite model targets illustrate the effectiveness and robustness of the proposed method in atti?tude direction estimation of parabolic antenna loads.

关键词

姿态指向估计/抛物面天线载荷/空间目标/逆合成孔径雷达(ISAR)图像/空基太赫兹雷达/随机霍夫变换(RHT)/粒子群优化(PSO)

Key words

attitude direction estimation/parabolic antenna load/space target/inverse synthetic aperture radar (ISAR)image/space-based terahertz radar/randomized Hough transform(RHT)/particle swarm optimization (PSO)

分类

数理科学

引用本文复制引用

张野,杨潇,江新瑞,杨琪,邓彬,王宏强..基于太赫兹ISAR图像序列的空间目标抛物面天线载荷指向估计[J].红外与毫米波学报,2021,40(4):496-507,12.

基金项目

Supported by National Natural Science Foundation of China(61871386),the Natural Science Fund for Distinguished Young Scholars of Hunan Province(2019JJ20022). (61871386)

红外与毫米波学报

OA北大核心CSCDCSTPCDSCI

1001-9014

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