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
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;
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
DOI :
10.1109/CISP.2009.5303828
