Semiconductor Optoelectronics, Volume. 43, Issue 6, 1087(2022)

IMU De-Noising Method Based on Least Mean Square Algorithm and Extended Kalman Filter

LIU Yu... LIANG Juyang, CHEN Yanping, PENG Hui and HE Guangrui |Show fewer author(s)
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    References(4)

    [1] [1] Shimane E, Matsumoto S, Moriguchi T, et al. The study on performance of MEMS IMU for launch vehicle under high vibration environment[J]. Trans. JSASS Aerospace Tech. Japan, 2019, 17(4): 421-426.

    [2] [2] De Pasquale G, Som A. Reliability testing procedure for MEMS IMUs applied to vibrating environments[J]. Sensors, 2010, 10(1): 456-474.

    [3] [3] Capriglione D, Carratu M, Catelani M, et al. Experimental analysis of filtering algorithms for IMU-based applications under vibrations[J]. IEEE Trans. on Instrumentation and Measurement, 2021, 70: 1-10.

    [4] [4] Maamo M S, Afonin A A, Sulakov A S. Aircraft wing vibration parameters measurement system using MEMS IMUs and closed-loop optimal correction[J]. Aerospace Systems, 2022, 5: 473-480.

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    LIU Yu, LIANG Juyang, CHEN Yanping, PENG Hui, HE Guangrui. IMU De-Noising Method Based on Least Mean Square Algorithm and Extended Kalman Filter[J]. Semiconductor Optoelectronics, 2022, 43(6): 1087

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    Paper Information

    Special Issue:

    Received: Dec. 13, 2022

    Accepted: --

    Published Online: Jan. 27, 2023

    The Author Email:

    DOI:10.16818/j.issn1001-5868.2022121301

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