Multiple Sensor Array Processing refers to the joint acquisition, synchronization, and analysis of signals captured simultaneously across an array of spatially distributed sensors. In distributed fiber-optic acoustic sensing, it involves coordinating data streams from independent sensing fibers or DAS units to suppress phase noise, extend sensing bandwidth, and improve spatial resolution. Research challenges include achieving sample-level synchronization across sensors without shared hardware clocks and developing signal fusion algorithms that exploit spatial diversity across the array.
We demonstrate distributed fiber-optic acoustic sensing that employs a mechanical synchronizer to achieve sample-level synchronization of signals across independent sensors.This enables phase-noise suppression and bandwidth extension in standard multi-fiber optical cables without hardware modification.