| Citation: | LI Lan-bin, DONG Peng. Layer-by-layer adaptive stripping of coupling noise in gravitational reference sensors using CNN-BiLSTM[J]. Chinese Optics. doi: 10.37188/CO.2026-0079
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Objective: This study addresses the difficulty of interpreting and separating multi-source coupling noise in gravitational reference sensors (GRSs) for spaceborne gravitational-wave detection. Methods: A unified acceleration-noise spectrum model is established for Brownian noise, thermal-field coupling, magnetic noise, electrostatic noise, drive-voltage noise, and residual low-frequency noise, with key parameters calibrated against LISA Pathfinder measurements. CNN layers are used to extract local transient features, BiLSTM layers are used to capture long-range temporal dependence, and adaptive spectral subtraction is then applied sequentially by physical noise category. Results: At an input SNR of 10.2 dB, the proposed method achieves a recovery fidelity of
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