DocumentCode
2148199
Title
Trajectory Processing Under Incomplete Measurement Situation Using a Sparse Representation Model
Author
Jiang, Wang ; Zhang, Zenghui ; Zhu, Jubo
Author_Institution
Dept. of Math. & Syst. Sci., Nat. Univ. of Defense Technol., Changsha, China
fYear
2009
fDate
17-19 Oct. 2009
Firstpage
1
Lastpage
5
Abstract
Under the incomplete measurement situation, how to get a smoothing trajectory with high precision is an important problem. In this article, a fusion method based on the error model best estimate of trajectory (EMBET) algorithm is proposed to handle the incomplete measurement problem by using a sparse representation model for trajectory of reentry target. And the sparse representation model of trajectory is built by analyzing the dynamic characteristics of launch vehicles. Simulations show the effectiveness of the proposed method.
Keywords
error statistics; sensor fusion; sparse matrices; model best estimate of trajectory algorithm; sparse representation model; trajectory processing; Aerodynamics; Atmospheric modeling; Data processing; Drag; Earth; Gravity; Smoothing methods; Testing; Trajectory; Vehicle dynamics;
fLanguage
English
Publisher
ieee
Conference_Titel
Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
Conference_Location
Tianjin
Print_ISBN
978-1-4244-4129-7
Electronic_ISBN
978-1-4244-4131-0
Type
conf
DOI
10.1109/CISP.2009.5303828
Filename
5303828
Link To Document