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Research on extraction of useful angular velocity information of superfluid gyroscope

机译：超流式陀螺仪萃取有用角速度信息的研究

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摘要

Aimed at the difficulty to extract the angular velocity information, which is polluted by the noise of superfluid gyroscope, a useful angular velocity information extraction method based on least mean square (LMS) algorithm was proposed. First, considering the existence of noise, the noise equivalent angular velocity model of gyroscope was established, and the amplitude range of noise equivalent angular velocity was analyzed. Second, a gyroscope noise cancellation system based on LMS adaptive filtering was proposed. Finally, by analyzing the influence of step factor and filter order on the filtering effect, the best parameter was obtained. The simulation results show that the noise can be effectively suppressed, and the useful angular velocity information can be extracted effectively.
机译：旨在提取由超流陀螺仪噪声污染的角速度信息的难度，提出了一种基于最小均方（LMS）算法的有用的角速度信息提取方法。首先，考虑到噪声的存在，建立了陀螺仪的噪声等同角速度模型，分析了噪声等效角速度的幅度范围。其次，提出了一种基于LMS自适应滤波的陀螺噪声消除系统。最后，通过分析步进因子和过滤顺序对滤波效果的影响，获得了最佳参数。仿真结果表明，可以有效地抑制噪声，并且可以有效地提取有效的角速度信息。

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