Error Models for MEMS Based IMU | ||||
International Conference on Aerospace Sciences and Aviation Technology | ||||
Article 67, Volume 14, AEROSPACE SCIENCES & AVIATION TECHNOLOGY, ASAT - 14 – May 24 - 26, 2011, May 2011, Page 1-10 PDF (649.76 K) | ||||
Document Type: Original Article | ||||
DOI: 10.21608/asat.2011.23381 | ||||
View on SCiNiTO | ||||
Authors | ||||
M. K. El Bahnasawy; E. Abdelkawy; S. A. Shedied | ||||
Egyptian Armed Forces, Egypt. | ||||
Abstract | ||||
This paper introduces a comparison study of different error models used in strapdown inertial navigation system (SINS) to enhance the overall positioning accuracy. These models are used to represent the stochastic errors included in the MEMS sensors used in the IMU. First-order Gauss-Markov (GM) model, Random walk (RW) model and autoregressive (AR) process model are used to describe the stochastic nature of these errors and their effect on positioning accuracy. | ||||
Keywords | ||||
MEMS; Micro Electromechanical Systems; INS; Inertial Navigation Systems | ||||
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