DocumentCode :
550179
Title :
Relative states autonomous determination of space non-cooperative target based on union of LSM and SRUKF
Author :
Li Hua-shan ; Yan Ye ; Zhou Ying
Author_Institution :
Coll. of Astronaut. & Mater. Eng., NUDT, Changsha, China
fYear :
2011
fDate :
22-24 July 2011
Firstpage :
1467
Lastpage :
1471
Abstract :
Quickly achieving relative states autonomous determination of space non-cooperative target is studied in this paper. Firstly, relative orbit motion states equation is established which is of high precision under condition of little distance; Secondly, united filtering algorithm of least square method and square root UKF filter is used to improve calculation precision and speed, in which least square method is used to estimate initial values and covariance matrix and then square root UKF filter achieving relative states autonomous determination of space non-cooperative target. Simulation results show the effectiveness of proposed algorithm, which could quickly achieve relative states autonomous determination.
Keywords :
Kalman filters; covariance matrices; least squares approximations; object detection; LSM; SRUKF; covariance matrix; initial value estimation; least square method; relative orbit motion state equation; relative state autonomous determination; space noncooperative target; square root UKF filter; united filtering algorithm; Equations; Estimation error; Filtering algorithms; Kalman filters; Least squares methods; Mathematical model; Orbits; Non-cooperative target; Relative states; Square root Unscented Kalman Filter; least square method;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (CCC), 2011 30th Chinese
Conference_Location :
Yantai
ISSN :
1934-1768
Print_ISBN :
978-1-4577-0677-6
Electronic_ISBN :
1934-1768
Type :
conf
Filename :
6000516
Link To Document :
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