Specialty fibers have introduced new levels of flexibility and variability in distributed fiber
sensing applications. In particular, distributed acoustic sensing (DAS) systems utilized] the …

Most distributed optical fiber sensors rely on commercially available telecom fibers, which
are low-loss, inexpensive, and standardized. In the last few years, significant effort has been …

To achieve data-driven intelligence in engineering applications, the key requirements for
distributed optical fiber sensor networks are large capacity, long distance, dense distribution …

In recent years, the widespread use of drones has led to serious concerns about safety and
privacy. Drone detection using microphone arrays has proven to be a promising method …

Optical fiber sensor network has attracted considerable research interests for geoscience
applications. However, the sensor capacity and ultra-low frequency noise limits the sensing …

An approach of phase-shift transform is proposed and demonstrated to suppress the
interference fading in phase sensitive optical time domain reflectometry (Φ-OTDR). The …

Optical fiber distributed acoustic sensing (DAS) based on phase sensitive optical time
domain reflectometry (φ-OTDR) has a great demand in many application fields with large …

Thanks to the development of machine learning and deep learning, data-driven pattern
recognition based on neural network is a trend for Φ-OTDR system intrusion event …

Traditional event recognition methods for signal collected by Φ-OTDR sensing system is
difficult to identify the event category accurately in field application. Deep-learning-based …

Accurate intrusion recognition along the optical fiber is still an enormous challenge in the
distributed acoustic sensing (DAS) based security system. Especially in the complex …