This application discloses a method for enhancing the quality of
bare fiber sensing signals
in vehicle-mounted vibration environments. It relates to the field of
fiber optic sensing
signal quality enhancement, and utilizes a multi-axis
inertial measurement unit and a
vibration sensing network to construct a spatiotemporal feature
tensor, enabling three-dimensional dynamic
perception of the vibration environment. Filtering parameters and
gain are dynamically configured based on vibration characteristics to ensure stable
signal acquisition under strong vibration conditions. A deep feature decoupling network, combined with vibration environment information, effectively separates
noise from the
target signal, improving the
signal-to-
noise ratio. A dynamic compensation module, based on a physical
heuristic model, corrects vibration-induced
transmission distortion from three dimensions: polarization state,
birefringence, and microbending loss, ensuring the
physical integrity of the signal. A closed-loop collaborative control mechanism dynamically optimizes the parameters of each module through real-
time signal quality feedback, forming an
adaptive optimization closed loop. Through spatiotemporal multi-dimensional
collaborative processing, high-quality and robust enhancement of
bare fiber sensing signals
in vehicle-mounted vibration environments is achieved.