Next Article in Journal
Numerical Modeling of Wave Disturbances in the Process of Ship Movement Control
Previous Article in Journal
DenseZDD: A Compact and Fast Index for Families of Sets
Previous Article in Special Issue
A Novel Parallel Auto-Encoder Framework for Multi-Scale Data in Civil Structural Health Monitoring
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)
PDF [6698 KB, uploaded 23 August 2018]


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

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Sheng, Z.; Qu, D.; Zhang, Y.; Yang, D. The Fast Detection and Identification Algorithm of Optical Fiber Intrusion Signals. Algorithms 2018, 11, 129.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Algorithms EISSN 1999-4893 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top