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

Jidong QIN  Jiandong ZHU  Huafeng PENG  Tao SUN  Dexiu HU  

IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences   Vol.E101-A   No.3   pp.595-599
Publication Date: 2018/03/01
Online ISSN: 1745-1337
DOI: 10.1587/transfun.E101.A.595
Type of Manuscript: LETTER
Category: Digital Signal Processing
radar cross section (RCS),  attitude estimation,  feature extraction,  particle swarm optimization (PSO),  

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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.