The Estimation of Satellite Attitude Using the Radar Cross Section Sequence and Particle Swarm Optimization

被引:2
作者
Qin, Jidong [1 ,3 ]
Zhu, Jiandong [2 ]
Peng, Huafeng [3 ]
Sun, Tao [3 ]
Hu, Dexiu [1 ]
机构
[1] Natl Digital Switching Syst Engn & Technol R&D Ct, Zhengzhou, Henan, Peoples R China
[2] Luoyang Elect Equipment Test Ctr China, Luoyang, Peoples R China
[3] Natl Key Lab Sci & Technol Blind Signal Proc, Chengdu, Sichuan, Peoples R China
基金
中国国家自然科学基金;
关键词
radar cross section (RCS); attitude estimation; feature extraction; particle swarm optimization (PSO);
D O I
10.1587/transfun.E101.A.595
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
The existing methods to estimate satellite attitude by using radar cross section (RCS) sequence suffer from problems such as low precision, computation complexity, etc. To overcome these problems, a novel model of satellite attitude estimation by the local maximum points of the RCS sequence is established and can reduce the computational time by downscaling the dimension of the feature vector. Moreover, a particle swarm optimization method is adopted to improve efficiency of computation. Numerical simulations show that the proposed method is robust and efficient.
引用
收藏
页码:595 / 599
页数:5
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