Research on Guidance Instrumentation Error Separation Method of Platform Inertial Navigation System

DOI

10.2991/icmmcce-17.2017.221How to use a DOI?

Keywords

guidance instrumentation error; error separation; wavelet; RELS.

Abstract

Aiming at the existing problems of the current methods in the area of guidance instrumentation error separation, such as the multicollinearity impact, the large noise effect and the low accuracy of separation results, a brand new algorithm is proposed. Firstly, basing on the advantage of wavelet analysis on disposing signals, data de-nosing is carried out; secondly, using the feature of recursive extended least square (RELS) method that the noise sequence is considered as the identification object to separate the instrumentation error. The simulation results show that, the proposed method not only can decrease the impact of noise but also can improve the accuracy of the estimation of error coefficients.

Copyright

© 2017, 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  - Hongjie Zhang
AU  - Shifeng Zhang
PY  - 2017/09
DA  - 2017/09
TI  - Research on Guidance Instrumentation Error Separation Method of Platform Inertial Navigation System
BT  - Proceedings of the 2017 5th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering (ICMMCCE 2017)
PB  - Atlantis Press
SP  - 1249
EP  - 1256
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmcce-17.2017.221
DO  - 10.2991/icmmcce-17.2017.221
ID  - Zhang2017/09
ER  -