【摘要】：光纖周界安防系統(tǒng)利用光纖作為傳感器實(shí)現(xiàn)分布式周界安防監(jiān)測，，是光纖技術(shù)在非通信領(lǐng)域的一項(xiàng)重要發(fā)展。該系統(tǒng)主要傳感部件是振動(dòng)光纖，這種設(shè)計(jì)獨(dú)特的光纖對運(yùn)動(dòng)、壓力和振動(dòng)非常敏感，可沿圍欄、圍墻鋪設(shè)，探測攀爬、敲擊等入侵行為，也可以在土壤、草坪下鋪設(shè)，探測踩踏等入侵行為。光纖傳感器檢測到的信號紛亂復(fù)雜，如何對入侵發(fā)生時(shí)引起的振動(dòng)信號進(jìn)行有效處理，以便對入侵行為進(jìn)行識別、分類，是光纖周界安防系統(tǒng)的關(guān)鍵技術(shù)之一，處理效果將直接影響系統(tǒng)對入侵行為的監(jiān)測性能。 本文對光纖周界安防系統(tǒng)的振動(dòng)信號特征提取與識別技術(shù)展開研究，主要內(nèi)容如下： 首先，分析了光纖振動(dòng)傳感系統(tǒng)的基本結(jié)構(gòu)與工作原理，設(shè)計(jì)了運(yùn)用小波閾值法對光纖振動(dòng)信號進(jìn)行消噪的方法，有效地去除了背景噪聲，減弱了冗余噪聲信息對后續(xù)特征提取與識別的影響。 其次，研究了光纖振動(dòng)信號時(shí)頻域特征提取方法，包括時(shí)域與頻域特征提取法、基于小波包分解的能量特征與熵特征提取法，以及Mel倒譜系數(shù)特征提取法。 第三，重點(diǎn)研究了模糊函數(shù)用于光纖振動(dòng)信號特征提取與表示，提出了將模糊函數(shù)切片作為光纖振動(dòng)信號特征的方法，并使用ReliefF特征選擇方法對所選切片進(jìn)行了優(yōu)化，以獲得更稀疏的特征子集。 最后，采用支持向量機(jī)進(jìn)行光纖振動(dòng)信號識別，分別利用本文四種特征提取方法所獲得的特征向量作為輸入，進(jìn)行了光纖振動(dòng)信號的分類識別實(shí)驗(yàn)，驗(yàn)證了模糊函數(shù)切片與支持向量機(jī)相結(jié)合的光纖振動(dòng)信號識別方法的有效性和可靠性。
[Abstract]:Optical fiber perimeter security system uses optical fiber as sensor to realize distributed perimeter security monitoring. It is an important development of optical fiber technology in non-communication field. The main sensing component of the system is the vibrating fiber, which is uniquely designed to be sensitive to motion, pressure and vibration, and can be laid along fences, walls, detection, climbing, knocking, and other intrusions, as well as under soil and lawns. Detect intrusions such as stampede. The signal detected by optical fiber sensor is complicated. How to process the vibration signal caused by the invasion effectively in order to identify and classify the intrusion behavior is one of the key technologies of the optical fiber perimeter security system. The processing effect will directly affect the monitoring performance of the system to the intrusion behavior. In this paper, the vibration signal feature extraction and identification technology of optical fiber perimeter security system is studied. The main contents are as follows: firstly, the basic structure and working principle of fiber optic vibration sensing system are analyzed. A method of de-noising optical fiber vibration signal using wavelet threshold method is designed, which effectively removes the background noise and reduces the influence of redundant noise information on the subsequent feature extraction and recognition. Secondly, the time-frequency domain feature extraction method of optical fiber vibration signal is studied, including time domain and frequency domain feature extraction method, energy feature and entropy feature extraction method based on wavelet packet decomposition, and Mel cepstrum coefficient feature extraction method. Thirdly, the fuzzy function is used to extract and represent the feature of optical fiber vibration signal, and the method of taking fuzzy function slice as the feature of optical fiber vibration signal is put forward, and the selected slice is optimized by using ReliefF feature selection method. To obtain a more sparse subset of features. Finally, using support vector machine to identify optical fiber vibration signal, using the feature vector obtained by four feature extraction methods as input, the classification and recognition experiment of optical fiber vibration signal is carried out. The validity and reliability of the optical fiber vibration signal recognition method based on fuzzy function slice and support vector machine (SVM) are verified.
【學(xué)位授予單位】：西安電子科技大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TN911.7

【參考文獻(xiàn)】

相關(guān)期刊論文 前7條

1 王璞;楊建宇;;基于乘積性模糊函數(shù)的多線性調(diào)頻信號時(shí)頻分布[J];電子學(xué)報(bào);2006年07期

2 李惠芳;印新達(dá);劉簡;張翠;陳園;;基于光纖光柵傳感系統(tǒng)的入侵信號識別[J];光通信技術(shù);2012年02期

3 秦培林;楊春森;;光纖振動(dòng)傳感器在安防周界中的應(yīng)用[J];裝備制造技術(shù);2005年04期

4 普運(yùn)偉;金煒東;朱明;胡來招;;雷達(dá)輻射源信號模糊函數(shù)主脊切面特征提取方法[J];紅外與毫米波學(xué)報(bào);2008年02期

5 尚秋峰;康丹;李青;郭曉帥;;基于單節(jié)點(diǎn)重構(gòu)改進(jìn)小波包的電力系統(tǒng)諧波分析算法[J];電力系統(tǒng)保護(hù)與控制;2011年03期

6 張翠芳;;小波閾值降噪效果影響因素的研究[J];西安郵電學(xué)院學(xué)報(bào);2008年05期

7 王磊;姬紅兵;史亞;;基于模糊函數(shù)代表性切片的運(yùn)動(dòng)雷達(dá)輻射源識別[J];系統(tǒng)工程與電子技術(shù);2010年08期

相關(guān)博士學(xué)位論文 前2條

1 曲志剛;分布式光纖油氣長輸管道泄漏檢測及預(yù)警技術(shù)研究[D];天津大學(xué);2007年

2 王燕花;新型光纖傳感系統(tǒng)的研究與實(shí)現(xiàn)[D];北京交通大學(xué);2009年

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