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基于振幅分割的光偏振测量技术的研究
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摘要
偏振是光波的一个重要性质,在材料科学、光学、光工程学、通讯学和天文学等领域中,光偏振的测量具有十分重要的意义。分振幅偏振光计是一种能够快速测量光偏振的传感器。它利用分振幅方法将入射光分为若干个分立小光源,通过多信号通道同时探测,同时近似实时地测量出描述待测光偏振的全部斯托克斯参数。它具有测量速度快、结构紧凑、安装简单和操作方便等优点,可用于在线实时研究材料的物理化学性质。在过去的二十多年里,国外研究人员在该领域内,在理论和应用方面做了大量工作,取得很大进展,提出了十多种利用分振幅方法的偏振光计,并且已将部分装置应用于实际领域。目前,国内对它的研究甚少。因此,本文对分振幅光偏振测量技术进行了深入研究。主要工作如下:
     (1)基于分振幅偏振光计的工作原理,研制了一种新颖的高速光偏振测量装置。设计了一种既能产生反射光衍射又能产生透射光衍射的特殊金属光栅,将它作为主要分光器件,设计了偏振光探测器的光学系统;基于USB2.0接口技术,设计了具有光电转换、信号调理、高速数据采集和数据传输等功能的电路系统;设计开发了软件系统。最后,研制出集光、机、电等技术一体的能够高速测量光偏振的装置原型。
     (2)对研制的光偏振测量装置原型进行了数据评估。采用Equator-Poles定标法,获得了装置的非奇异的仪器矩阵。为了检验定标后装置的工作性能,利用偏振态发生器产生一系列的偏振态,对装置进行了测试。测试结果表明:在工作波长632.8nm时,斯托克斯参数的测量值与理论值的平均偏差小于2%。详细地分析了产生测量偏差的主要原因。
     (3)仪器矩阵的好坏决定着分振幅偏振光计的测量精度。为了提高分振幅偏振光计的测量精度,将遗传算法应用到分振幅偏振光计,提出一种基于遗传算法的分振幅偏振光计的仪器矩阵优化求解方法。测试结果表明,使用该方法能够获得性能较优的仪器矩阵。
     (4)为了提高分振幅偏振光计的工作性能,提出了一种基于人工神经网络的分振幅偏振光计的数据处理方法。将分振幅偏振光计电路系统输出的电信号作为神经网络的输入,入射光的斯托克斯参数作为神经网络的输出,建立前向多层神经网络模型。经过网络训练,使该网络确立了电信号与入射光斯托克斯参数之间的映射关系。由测量得到的电信号,利用训练后的神经网络可以计算出待测入射光的斯托克斯参数。测试结果表明,对同组数据进行处理,在测量精度方面,该方法略优于矩阵运算法。
     (5)分振幅偏振光计可用作实时偏振测量术、椭偏测量术和米勒矩阵椭偏测量术中的偏振态探测器。对分振幅偏振光计的应用进行了探索性研究,设计和测试了它在糖溶液糖度测量方面的应用。
Polarization is an important property of optical waves and its measurement is very significant in material science, optics, optical engineering, communications, astronomy and other fields. The division-of-amplitude photopolarimeter (DOAP) is a kind of sensor capable of fast measurement of the state of polarization of light. It divides the incident light beam into several independent small photosources by using division of amplitude method, and then instantaneously and simultaneously determines the four Stokes parameters that describe the state of polarization of light to be measured through the simultaneous detection of multi-signal channel. The DOAP has lots of advantages, such as high speed, compact structure, easiness to be installed and operated, and so on, and can be used for in situ and real time studies of the physical and chemical property of the materials. In the past twenty years, overseas researchers have done lots of work in the theory and application in this field and made a great progress. They have proposed numerous instruments of measuring the light polarization based on division of amplitude method, some of that have already been applied to the actual field. Now there is less research on the DOAP in china. Therefore, this paper performed a deep study on the technique for measuring the state of polarization of light by using the division-of-amplitude method. The main research works in this dissertation are as follows:
     (1) According to the working principle of the DOAP, a novel high-speed photo- polarimeter was designed. A metallic grating was designed, which can produce both reflective diffraction and transmission diffraction, and then utilized as a main beam splitter, the optical system of the polarization state detector was developed. The electronics of the instrument based on USB2.0 interface was developed, which has the functions such as photoelectric transformation, signal processing, high speed data acquisition and data transmission and so on. The software system was designed and developed. Finally, a prototype of the instrument was developed. It has no moving parts or modulator, and thus can determine rapidly the incident light polarization state.
     (2) A data evaluation for the grating division-of-amplitude photopolarimeter was carried out. The nonsingular instrument matrix of this instrument was obtained by Equator-Poles calibration procedure. By using the polarization state generator to produce a series of polarization states, a test was carried out to examine the working performance of the instrument after calibration. The testing results show that the mean deviations of the measured and theoretical Stokes parameters are less than 2% at 632.8nm. The main reasons of measurement deviations were analyzed in detail.
     (3) The measurement accuracy of the DOAP is affected by the quality of the instrument matrix. To improve the measurement precision of the DOAP, an optimization method for the instrument matrix of the DOAP based on genetic algorithm was presented. The testing results show that the better instrument matrix can be obtained by using this method.
     (4) To improve the working performance of the DOAP, a data processing method for the DOAP based on an artificial neural network was presented. A multilayer feedforward neural network model was set up whose inputs are the electrical signals produced by the electronics of the DOAP, and outputs are the Stokes parameters of the incident light. The mapping relationships between the electrical signals and the Stokes parameters can be determined by training the neural network. After the electrical signals are measured, the Stokes parameters of the incident light can be calculated via a trained neural network. The testing results show that the data processing method based on the neural networks is slightly better than that based on the matrix operation on the measurement precision.
     (5) The DOAP can be used as a polarization state detector in real-time polarimetry, ellipsometry and Mueller matrix ellipsometry. In this dissertation, the application of the DOAP in the time-resolved measurement of the sugar in solution was introduced and tested.
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