High-precision pose and velocity measuring method for projectiles based on kalman filtering algorithm

DOI

10.2991/iccmcee-15.2015.231How to use a DOI?

Keywords

projectiles; kalman filtering algorithm; trajectory; tracking

Abstract

An original method is presented in this paper, which attempts to make use of the kalman filtering algorithm and maintain accuracy in position, attitude and velocity estimation for a fast moving projectile, the velocity and the pose (position and attitude) could also be obtained, then the simulation are presented and compared with the conventional least square method. The simulation result showed that the kalman filter algorithm is more accurate and stability than the conventional least squares algorithm, meanwhile, the trajectory of the projectile obtained by the kalman filter algorithm is very close to the real trajectory. 0 Introduction

Copyright

© 2015, 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  - Liang Zhang
AU  - Lizhi Qian
AU  - QuanLi Ning
AU  - Jingxiao Wang
PY  - 2015/11
DA  - 2015/11
TI  - High-precision pose and velocity measuring method for projectiles based on kalman filtering algorithm
BT  - Proceedings of the 2015 4th International Conference on Computer, Mechatronics, Control and Electronic Engineering
PB  - Atlantis Press
SP  - 1212
EP  - 1221
SN  - 2352-5401
UR  - https://doi.org/10.2991/iccmcee-15.2015.231
DO  - 10.2991/iccmcee-15.2015.231
ID  - Zhang2015/11
ER  -