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Multi-source Separation for Fiber-Optic Distributed Acoustic Sensor (DAS)

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Abstract

To improve the detection and recognition performance of DAS in complicated multi-source interfering environments, a blind multi-source separation method is proposed based on the FastICA, which utilizes the independency and non-Gaussianity of different sources.

© 2022 The Author(s)

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