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Open AccessArticle

The Fast Detection and Identification Algorithm of Optical Fiber Intrusion Signals

School of Electrical and Information Engineering, North China University of Technology, Beijing 100144, China
Author to whom correspondence should be addressed.
Algorithms 2018, 11(9), 129;
Received: 21 June 2018 / Revised: 15 August 2018 / Accepted: 20 August 2018 / Published: 23 August 2018
(This article belongs to the Special Issue Discrete Algorithms and Discrete Problems in Machine Intelligence)
With the continuous development of optical fiber sensing technology, the Optical Fiber Pre-Warning System (OFPS) has been widely used in various fields. The OFPS identifies the type of intrusion based on the detected vibration signal to monitor the surrounding environment. Aiming at the real-time requirements of OFPS, this paper presents a fast algorithm to accelerate the detection and recognition processing of optical fiber intrusion signals. The algorithm is implemented in an embedded system that is composed of a digital signal processor (DSP). The processing flow is divided into two parts. First, the dislocation processing method is adopted for the sum processing of original signals, which effectively improves the real-time performance. The filtered signals are divided into two parts and are parallel processed by two DSP boards to save time. Then, the data is input into the identification module for feature extraction and classification. Experiments show that the algorithm can effectively detect and identify the optical fiber intrusion signals. At the same time, it accelerates the processing speed and meets the real-time requirements of OFPS for detection and identification. View Full-Text
Keywords: OFPS; fast algorithm; real-time performance; feature extraction OFPS; fast algorithm; real-time performance; feature extraction
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Sheng, Z.; Qu, D.; Zhang, Y.; Yang, D. The Fast Detection and Identification Algorithm of Optical Fiber Intrusion Signals. Algorithms 2018, 11, 129.

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