Ultra-Low-Frequency Drift Compensation Using Pre- and Post-measurement Signals by DWT and Seg-Mamba Prediction for Microthrust Measurement

Drift compensation is crucial for microthrust measurement equipment to detect gravitational waves as ultra-low-frequency drift poses a significant challenge. This article proposes a drift compensation method taking advantages of predictions using pre- and post-instrument heating signals. We decomposite the signals into baseline drifts and alternating noise. It is demonstrated that the baseline drift could be fitted through improved weighted least squares fitting. Besides, the alternating noise can be decomposed using wavelet method and predicted using a novel lightweight Seg-Mamba model. The results illustrated that the proposed method can reduce power spectral density of background signal drift from 3762 to 0.078 $\boldsymbol{\mu}$N/Hz1/2 at 0.1 mHz for data in China Jinping Underground Laboratory. The proposed method is capable of effective drift compensation for thrust measurement in complex and dynamic environments.

• Publication year

  2026

• Venue

  IEEE transactions on industrial electronics (1982. Print)

• Publication date

  2026-03-01

• Fields of study

  Not labeled

• Identifiers
  DOI 10.1109/TIE.2025.3613645
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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