Sparse Parameter Modeling and Estimation for Trajectory Process Based on Semiparameter Regression Analysis

DOI

10.2991/iccasm.2012.242How to use a DOI?

Keywords

Exterior ballistic trajectory, Estimation and Modeling, Semi-parameter regression, Precision analysis

Abstract

The measuring model based on Bi-satellite as well as optical and radar measure was presented; and then the sparse parameter estimation model and the corresponding estimation algorithm and calculation step for exterior ballistic trajectory based on semi-parameter regression model was established. Moreover this paper analyzed and explained that this algorithm can eliminate the effect on the estimation precision of trajectory parameters which were brought by the nonlinear ingredients more effectively than the least square method both from theory analysis and simulation experiments.

Copyright

© 2012, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Chunlin Huang
PY  - 2012/08
DA  - 2012/08
TI  - Sparse Parameter Modeling and Estimation for Trajectory Process Based on Semiparameter Regression Analysis
BT  - Proceedings of the 2012 International Conference on Computer Application and System Modeling (ICCASM 2012)
PB  - Atlantis Press
SP  - 951
EP  - 955
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccasm.2012.242
DO  - 10.2991/iccasm.2012.242
ID  - Huang2012/08
ER  -