A Precise Position and Orientation Algorithm Based on IMM-SINS/GNSS in Aerophotogrammetry System

DOI

10.2991/mmebc-16.2016.119How to use a DOI?

Keywords

Aerophotogrammetry; IMM; SINS/GNSS; Kalman filter; Position and orientation

Abstract

Aiming at the difficulties of high-precision position and orientation system in aerophotogrammetry system, drift error in traditional Strap-down Inertial Navigation system, noise characteristic mutarions in integrated navigation system, an algorithm based on IMM-SINS/GNSS Kalman filter is proposed. The algorithm takes the advantages of SINS's autonomy and anti-interference characteristics, GNSS's high absolute precision and error-compensating, IMM's multi-model existence and noise adaption characteristic. The error is estimated by using the improved Kalman filter supported by SINS/GNSS integrated navigation system. Simulation results show that the location and attitude error is effectively limited, verify the feasibility of this scheme and the efficiency of the algorithm, showing that this algorithm is valuable in navigation and aerophotogrammetry field.

Copyright

© 2016, 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  - Jingxin Liu
AU  - Yun Bai
AU  - Yang Ji
PY  - 2016/06
DA  - 2016/06
TI  - A Precise Position and Orientation Algorithm Based on IMM-SINS/GNSS in Aerophotogrammetry System
BT  - Proceedings of the 2016 6th International Conference on Machinery, Materials, Environment, Biotechnology and Computer
PB  - Atlantis Press
SP  - 551
EP  - 557
SN  - 2352-5401
UR  - https://doi.org/10.2991/mmebc-16.2016.119
DO  - 10.2991/mmebc-16.2016.119
ID  - Liu2016/06
ER  -