Abstract
We propose a hybrid model named channel attention based temporal convolutional network combined with spatial attention and bidirectional long short-term memory network (ATCN-SA-BiLSTM) for phase sensitive optical time domain reflectometry signal recognition. This hybrid model consists of three parts: ATCN, which extracts temporal features and preserves causality of time domain signals, the SA mechanism, which re-weights spatial sequences for better feature extraction, and BiLSTM, which extracts spatial relationships considering the bidirectional propagation characteristics of disturbances in space domain signals. Experimental results show that our method achieves better classification performance with an accuracy of 93.4% and zero nuisance alarm rate.
© 2022 Optica Publishing Group
Full Article | PDF ArticleMore Like This
Yi Shi, Jiewei Chen, Shangwei Dai, Xinyu Liu, and Chuliang Wei
Opt. Express 30(23) 42086-42096 (2022)
Yi Huang, Jingyi Dai, Wei Shen, Xiaofeng Chen, Chengyong Hu, Chuanlu Deng, Lin Chen, Xiaobei Zhang, Wei Jin, Jianming Tang, and Tingyun Wang
Appl. Opt. 62(35) 9326-9333 (2023)
Mingxuan Liu, Xin Wang, Sheng Liang, Xinzhi Sheng, and Shuqin Lou
Appl. Opt. 62(1) 133-141 (2023)