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Noise suppression method of rotating accelerometer gravity gradiometer instrument based on oversampling

机译:基于过采样的旋转加速度计重力仪仪噪声抑制方法

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In this paper, a combined method analyzing both Allan variance and power spectral density was used to characterize the original output signal and the demodulated gravity gradient signal in the rotating accelerometer gravity gradiometer instrument (GGI). the purpose is to solve the weakness of the low recognition of noise in applying simple frequency domain analyze and to accurately identify the noise pattern. The result showed that, The noise intensity near the modulation frequency point of the original output signal of gravity gradiometer is 8×10~(-9)g/{the square root of}(Hz), The noise modes are mainly white noise, pink noise and random walk noise. The means, it is very hard to effectively make gravity gradient measurement by using conventional processing method. Over sampling method had been chosen in the study to make use of the dither of white noise to lift the useful signal in original output from GGI, which caused little modulation on the latter. Then the digital filter could help eliminating the white noises. So the researcher got a better SNR. It was estimated that, through this over sampling method in the background of white noise modulation, the single frequency noise amplitude decreased 3 dB for each doubling of sampling frequency. This finding revealed a way to enhance GGI by picking up the sampling frequency from 8Hz to 9kHz and it must be supported with down-sampling-anti-aliasing filter to reduce the transmission pressure on data line. The strict linear relationship between the original signal and the modulation phase in GGI was considered together with the ARMA model of time series to calculated the original gravity gradient signal under high frequency output. With the enhanced method the outputting frequency of GGI can be put up from 0.5Hz to 9kHz without physical updating, which permits the possibility to further suppress the white noise. According to the test in the study, after adopting the both above enhancements, the demodulated noise amplitude of the measured signal decreases by 50% in valid field from 0.01 Hz to 0.1 Hz of GGI.
机译:在本文中,分析了Allan方差和功率谱密度的组合方法用于表征旋转加速度计重力梯度计(GGI)中的原始输出信号和解调重力梯度信号。目的是解决应用简单频域分析的噪声低识别的弱点,并准确地识别噪声模式。结果表明,重力梯度计的原始输出信号调制频率点附近的噪声强度为8×10〜(-9)g / {}(Hz)的平方根,噪声模式主要是白噪声,粉红色的噪音和随机散步。这种方式,通过使用传统的加工方法很难通过传统的加工方法进行重力梯度测量。在研究中选择了采样方法,利用白噪声抖动,以提升GGI原始输出中的有用信号,这在后者造成了很少的调制。然后数字滤波器可以帮助消除白色噪音。所以研究人员有一个更好的SNR。据估计,通过在白噪声调制背景下的采样方法,每个采样频率加倍的单频噪声幅度降低了3dB。这一发现揭示了通过从8Hz到9KHz的采样频率拾取采样频率来增强GGI的方法,并且必须支持脱模 - 抗锯齿过滤器,以减少数据线上的传输压力。 GGI中的原始信号与调制阶段之间的严格线性关系与时序序列的ARMA模型一起考虑,以便在高频输出下计算原始重力梯度信号。利用增强方法,GGI的输出频率可以从0.5Hz到9KHz上放置而没有物理更新,这允许进一步抑制白噪声。根据该研究的测试,在采用上述增强后,测量信号的解调噪声幅度在GGI的0.01Hz至0.1Hz的有效字段中降低了50%。

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