A Multi-Source Signals Separation Algorithm for Identifying the Threatening Signals Applied in Fiber-Optic Distributed Acoustic Sensor (W2B.23)
Presenter: Tao He, Huazhong Univ of Science and Technology
A multi-source signals separation algorithm is proposed to identify the potential threatening signals submerged in the strong background noises. Finally, the recognition rate of the mixed signals is improved from 62.83% to 92.36%.
Authors:Tao He, Huazhong Univ of Science and Technology / Qizhen Sun, Huazhong Univ of Science and Technology / Zhang Xiong, Huazhong Univ of Science and Technology / Hao Li, Huazhong Univ of Science and Technology / Zhijun Yan, Huazhong Univ of Science and Technology / Deming Liu, Huazhong Univ of Science and Technology