Inertial sensors have a broad field of applications and are especially essential for localization. One of the most severe errors of MEMS inertial sensors is bias drift. In this paper bias drift is mathematically modeled as a combination of time and temperature dependent behaviors which are fused together allowing online bias compensation. The example presented indicates an almost perfect estimation resulting in elimination of more than 99% of bias. In this paper, also, a novel technique for modeling systems with hysteresis is presented.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Analysis, modeling and compensation of bias drift in MEMS inertial sensors


    Contributors:


    Publication date :

    2009-06-01


    Size :

    903477 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Thermal bias drift compensation of MEMS accelerometer based on relevance vector machine

    Zhe, X. / Yunfeng, L. / Jingxin, D. | British Library Online Contents | 2013


    Performance of MEMS inertial sensors

    Kourepenis, A. / Borenstein, J. / Connelly, J. et al. | AIAA | 1998


    Performance of MEMS Inertial Sensors

    Kourepenis, A. / Borenstein, J. / Connelly, J. et al. | British Library Conference Proceedings | 1998


    Performance of MEMS inertial sensors

    Kourepenis, A. / Borenstein, J. / Connelly, J. et al. | Tema Archive | 1998


    Packaging MEMS Inertial Sensors at Motorola

    IEEE | British Library Conference Proceedings | 2003