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Inertial sensing with spatially distributed sensor array and two dimensional data processing

机译:具有空间分布的传感器阵列的惯性传感和二维数据处理

摘要

A spatially distributed MEMS inertial sensor array is designed to reduce or cancel measurement errors and to increase the signal detection accuracy. By combining the measurements from a pair of sensors having sensing axes in two different, non-orthogonal directions, the correlated error due to the environmental changes are cancelled or reduced and the uncorrelated random noise is also reduced by the square root of two. By sequentially sampling the sensor array in the time domain, the number of the ADC circuits can be largely reduced. A two dimensional signal processing method is used to process the sensor array output data, in order to further reduce the remaining errors. Namely, one dimension uses the outputs from multiple spatially distributed sensor sets and the other dimension is the time domain. The signal to noise ratio is increased by using the signal correlation in both the spatial domain and the time domain.
机译:空间分布的MEMS惯性传感器阵列旨在减少或消除测量误差并提高信号检测精度。通过组合来自具有在两个不同的非正交方向上的感测轴的一对传感器的测量值,可以消除或减少由于环境变化而引起的相关误差,并且还可以通过将两者的平方根减小不相关的随机噪声。通过在时域中对传感器阵列进行顺序采样,可以大大减少ADC电路的数量。为了进一步减少剩余误差,使用二维信号处理方法来处理传感器阵列的输出数据。即,一维使用来自多个空间分布的传感器集的输出,而另一维是时域。通过在空间域和时域中使用信号相关性来提高信噪比。

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