Error Models for MEMS Based IMU

Document Type : Original Article

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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.

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