Sergey Shatalin

The intelligent distributed acoustic sensing

Distributed Acoustic Sensing (DAS) technology has progressed rapidly from being capable of event detection only to faithfully capturing the full acoustic signal (amplitude, frequency and phase) at all points along the sensing fibre. In this paper we demonstrate the performance of one such sensor and describe how the unique nature of DAS data enables a range of ground-breaking industrial applications.

Tracking system developed using an optical fiber-based distributed acoustic sensor

This work will present a system for acoustic source tracking and imaging developed using a novel distributed acoustic sensor. This sensor, the intelligent Distributed Acoustic Sensor (iDAS), uses standard off-the-shelf optical fiber as a transducer to capture the audio-frequency acoustic field (both phase and amplitude) simultaneously along the entire length of a fiber with a spatial resolution of about 0.5 m. iDAS was used to track the bearing of acoustic sources in a reverberant environment, with localization being performed in two stages. First, the received signal was preprocessed for the mitigating effects of calibration errors and multipaths. Then tracking was performed via particle filters. These filters can track multiple acoustical sources and are efficient enough to run in nearly real time. The output from this system is presented in the form of an acoustic camera-type video.

The intelligent distributed acoustic sensor (withdrawal notice)

Distributed Acoustic Sensing (DAS) technology has progressed rapidly from being capable of event detection only to faithfully capturing the full acoustic signal (amplitude, frequency and phase) at all points along the sensing fibre. In this paper we demonstrate the performance of one such sensor and describe how the unique nature of DAS data enables a range of ground-breaking industrial applications.