The ring laser gyro signal contains complex noise components, affecting the system’s measurement accuracy. It is an engineering problem worthy of study to find an effective method to reduce the noise in the sampling signal and improve the system’s accuracy. In order to reduce various noises of the ring laser gyroscope and improve its measurement accuracy, a noise reduction method combining complete ensemble empirical mode decomposition with adaptive noise and the Savitzky–Golay algorithm is proposed. First, the measured samples are mode decomposed, and the concept of weighted-permutation entropy is introduced to distinguish the noisy modes. Then, the Savitzky–Golay algorithm is used to process the noisy modes, and finally, the signal is reconstructed. Simulated test signal and actual gyro signal are used to test, and compared with the EMD noise reduction method, each indicator is improved. The paper proposes a new noise reduction method for the laser gyro signal, and introduces weighted-permutation entropy to analyze the dividing point. The test data show the effectiveness of the method.

中文翻译：

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基于Ceemdan和Savitzky-Golay算法的环形激光陀螺信号降噪方法

环形激光陀螺信号包含复杂的噪声成分，影响系统的测量精度。寻找一种有效的方法来降低采样信号中的噪声，提高系统的精度，是一个值得研究的工程问题。为了降低环形激光陀螺的各种噪声，提高其测量精度，提出了一种将完全集成经验模态分解与自适应噪声相结合的降噪方法和Savitzky-Golay算法。首先，对测量样本进行模式分解，并引入加权置换熵的概念来区分噪声模式。然后，使用 Savitzky-Golay 算法对噪声模式进行处理，最后对信号进行重构。使用模拟测试信号和实际陀螺仪信号进行测试，并且与EMD降噪方法相比，各项指标都有所提高。提出一种新的激光陀螺信号降噪方法，并引入加权置换熵分析分割点。测试数据表明了该方法的有效性。