Nonlinear modeling of the stochastic errors of MEMS inertial sensors utilized in smart phones

摘要

A robust nonlinear modeling technique based on Fast Orthogonal Search (FOS) is introduced to remove MEMS-based inertial sensor stochastic errors inside smart mobile phones that are used for several purposes including location based services and device usage classification. The proposed method is applied to MEMS-based gyroscopes and accelerometers. Results show that the proposed method models low-cost MEMS sensors errors with no need for de-noising techniques and, using smaller model order and less computation, outperforms traditional methods by two orders of magnitude.