Noise Reduction of High-G Accelerometer Signals Based on Frequency-Domain Segmentation and Time-Domain Zeroing

This article focuses on the challenge of accuracy degradation in high-G accelerometer shock calibration due to noise interference in the signal. An efficient signal-denoising method is proposed to address this issue. The method employs adaptive frequency segmentation based on complementary ensemble empirical mode decomposition (CEEMD), effectively eliminating high-frequency noise while accurately preserving the peak information of the shock response. Additionally, a time-domain zeroing (TZ) strategy is integrated into the proposed denoising method, significantly reducing noise and correcting the frequency response amplitude. Simulation results reveal that the method exhibits remarkable performance in noise reduction, sensitivity calibration accuracy, and amplitude-frequency characteristic calibration accuracy, surpassing the other methods. Furthermore, experimental results indicate the ability of this method to enhance the stability of real sensitivity and amplitude-frequency characteristic calibration, thereby providing robust technical support for high-precision calibration measurements.