采用阵列信号处理的MEMS陀螺阵列干扰与异常值抑制

Hiroyuki Kamata, Masato Kimishima, Tsutomu Sawada, Yoshitaka Suga, Haruto Takeda, Kosei Yamashita, S. Mitani
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引用次数: 5

摘要

本文首先讨论了利用低功耗科里奥利振动型MEMS低成本形成紧凑集成MEMS IMU阵列时不可忽视的两个实际问题——由MEMS邻近排列引起的相互振动干扰噪声和随机电报信号噪声引起的离群噪声。然后,我们在小型FPGA上提出了一种易于实现的阵列信号处理滤波,通过动态抑制干扰噪声和去除异常噪声来恢复陀螺仪的性能(角度随机游走和偏置不稳定性)。我们制作了32块不含IMU筛选工艺的消费类MEMS IMU阵列板,实现了所提出的滤波器,并对其性能进行了评估。结果,尽管存在相互干扰和MEMS陀螺传感器性能较差,但成功实现了接近理想阵列增益1/√32的陀螺仪性能(角度随机游走0.7°/s/√Hz,偏置不稳定性0.5°/h)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
MEMS Gyro Array Employing Array Signal Processing for Interference and Outlier Suppression
In this paper, two practical problems that cannot be ignored when forming compactly integrated MEMS IMU array at low cost using Coriolis vibration type MEMS with low power consumption - mutual vibration interference noise caused by MEMS proximity arrangement, and outlier noise caused by random telegraph signal noise - are firstly discussed. Then, we propose an easily implementable array signal processing filtering on a small FPGA that recovers gyroscope performance (angle random walk and bias instability) by suppressing the interference noise and removing the outlier noise dynamically. We fabricated 32 consumer MEMS IMU array board without IMU screening process, implemented the proposed filter, and evaluated its performance. As a result, although there are mutual interferences and a MEMS gyro sensor with poor performance, gyroscope performance (0.7mdeg/s/√Hz as angle random walk and 0.5deg/h as bias instability) which are close to the ideal array gain of 1/√32 were successfully achieved.
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