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光反饋自混合干涉信號噪聲處理及位移測量算法的研究

發(fā)布時間:2018-06-08 03:35

  本文選題:位移測量 + 光反饋自混合干涉(OFSMI); 參考:《鄭州大學(xué)》2015年碩士論文


【摘要】:激光器發(fā)出一束光線,照射在外部物體上,這束光經(jīng)外部物體吸收、反射、散射后,一部分光又返回到激光器的諧振腔內(nèi),與諧振腔內(nèi)的激光進行混合,從而調(diào)制了激光器的輸出功率,這種現(xiàn)象就叫做光反饋自混合干涉(Optical Feedback Self-Mixing Interference,簡稱OFSMI)。相較于傳統(tǒng)的干涉系統(tǒng),光反饋自混合干涉技術(shù)構(gòu)成的系統(tǒng)具有結(jié)構(gòu)簡單緊湊、易準直等優(yōu)點。光反饋自混合干涉系統(tǒng)多用于物理量傳感測量,這是由于OFSMI信號中攜帶著外部物體的諸多信息。目前,光反饋自混合干涉系統(tǒng)應(yīng)用于機械量如位移、振動、距離、輪廓等的傳感測量。由于OFSMI測量系統(tǒng)具有高分辨率、高精度等優(yōu)點,所以光反饋自混合干涉技術(shù)在傳感測量領(lǐng)域具有廣闊的研究前景。由實驗中得到的OFSMI信號中帶有大量的噪聲,所以本文重點研究了光反饋自混合干涉信號噪聲處理的兩種方法:1、基于分數(shù)階Fourier變換LMS自適應(yīng)濾波算法;2、基于噪聲輔助經(jīng)驗?zāi)J椒纸?EEMD)的閾值處理算法。通過仿真實驗,OFSMI信號的信噪比有了較大的提高。然后,本文介紹了光反饋自混合干涉的理論分析模型,分析了光反饋水平因子C對自混合干涉信號的影響,并且深入研究了在高光反饋條件下,外部物體做周期運動時自混合干涉條紋丟失現(xiàn)象,得出反饋水平因子C和半個周期內(nèi)條紋丟失數(shù)目m之間的規(guī)律,并設(shè)計基于條紋丟失補償?shù)淖曰旌细缮嫖灰茰y量算法,以提高位移測量精度。最后,給出了本文的結(jié)論,提出了光反饋自混合干涉信號在噪聲處理方面及位移測量領(lǐng)域有待進一步深入研究探索的問題。
[Abstract]:The laser emits a beam of light on an external object, which is absorbed, reflected, and scattered by the external object, and some of the light returns to the resonator of the laser and is mixed with the laser in the resonator. Thus the output power of the laser is modulated. This phenomenon is called optical feedback self-Mixing interference. Compared with the traditional interference system, the optical feedback self-mixing interference system has the advantages of simple and compact structure, easy collimation and so on. Optical feedback self-mixing interference system is widely used in physical quantity sensing measurement because OFSMI signals carry a lot of information about external objects. At present, optical feedback self-mixing interferometry system is applied to the sensing measurement of mechanical parameters such as displacement, vibration, distance, profile, etc. Because the OFSMI measurement system has the advantages of high resolution and high precision, the optical feedback self-mixing interferometry has a broad research prospect in the field of sensor measurement. The OFSMI signal obtained from the experiment has a lot of noise. Therefore, this paper focuses on two noise processing methods of optical feedback self-mixing interference signal: 1: 1, LMS adaptive filtering algorithm based on fractional Fourier transform and EEMD-based noise assisted empirical mode decomposition. The signal-to-noise ratio of OFSMI signal is greatly improved by simulation. Then, this paper introduces the theoretical analysis model of optical feedback self-mixing interference, analyzes the influence of optical feedback level factor C on the self-mixing interference signal, and deeply studies the influence of the optical feedback level factor C on the self-mixing interference signal under the condition of high-light feedback. The phenomenon of self-mixing interference fringe loss is obtained when the external object is in periodic motion. The law between the feedback level factor C and the number of fringe loss m in half a period is obtained, and a self-mixing interferometric displacement measurement algorithm based on fringe loss compensation is designed. In order to improve the accuracy of displacement measurement. Finally, the conclusion of this paper is given, and the problems of optical feedback self-mixing interference signal in noise processing and displacement measurement are put forward.
【學(xué)位授予單位】:鄭州大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2015
【分類號】:TN248

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