Acta Photonica Sinica, Volume. 43, Issue 4, 428001(2014)
A Novel Time Sequence Singular Spectrum Analysis Method for Φ-OTDR Disturbance Detection System
The phase-sensitive optical time-domain reflectometer systemissensitive to ambient environmentsuch as sound waves, air flow and transient high-frequency noise. Thus the practical signal-to-noise-ratio is always low, the real intrusion signals are always severely obscured and difficult to be detected, as a consequence, false alarm occurs frequently. To solve the problem, a signal processing schemeusing feed-forward neural network together with singular spectrum feature extraction algorithm was presented for disturbance detection. The main points of the method were mapping the slidinglongitudinal time series to a sequence of multi-dimensional lagged vectors which form trajectory matrix and computing the singular value decompositionof the trajectorymatrix. This method can effectively eliminate sound waves and transient high-frequency acoustic noise, etc. Performance results showthat with breeze interference, the correct detection rate is 90% and false alarm rate is less than 2% at a range of 14 km.
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LI Xiao-yu, WU Hui-juan, PENG Zheng-pu, RAO Yun-jiang. A Novel Time Sequence Singular Spectrum Analysis Method for Φ-OTDR Disturbance Detection System[J]. Acta Photonica Sinica, 2014, 43(4): 428001
Received: Jun. 17, 2013
Accepted: --
Published Online: May. 4, 2014
The Author Email: Xiao-yu LI (lxy_2920@163.com)