Research on the blind source separation method of DAS signal based on the improvement of FastICA algorithm

Abstract

Distributed optical fiber acoustic sensing system (DAS) can achieve real-time monitoring of vibration events along the optical fibers by demodulation of back Rayleigh scattered light information in optical fibers. DAS system has a long detection distance, low cost, high sensitivity and other characteristics, and has been playing an important role in various engineering applications. However, in practical engineering detection of DAS system, there are other vibration sound sources in the environment besides target vibration events. However, the number and type of environmental sound sources are usually unknown. This kind of uncertain multi-source interference will have a serious impact on the monitoring of target events.