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Matrix Structure for Information-Driven Polarimeter Design

机译:信息驱动旋光仪设计的矩阵结构

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摘要

Estimating the polarization of light has been shown to have merit in a wide variety of applications between UV and LWIR wavelengths. These tasks include target identification, estimation of atmospheric aerosol properties, biomedical and other applications. In all of these applications, polarization sensing has been shown to assist in discrimination ability; however, due to the nature of many phenomena, it is difficult to add polarization sensing everywhere. The goal of this dissertation is to decrease the associated penalties of using polarimetry, and thereby broaden its applicability to other areas. First, the class of channeled polarimeter systems is generalized to relate the Fourier domains of applied modulations to the resulting information channels. The quality of reconstruction is maximized by virtue of using linear system manipulations rather than arithmetic derived by hand, while revealing system properties that allow for immediate performance estimation. Besides identifying optimal systems in terms of equally weighted variance (EWV), a way to redistribute the error between all the information channels is presented. The result of this development often leads to superficial changes that can improve signal-to-noise-ration (SNR) by up to a factor of three compared to existing designs in the literature. Second, the class of partial Mueller matrix polarimeters (pMMPs) is inspected in regards to their capacity to match the level of discrimination performance achieved by full systems. The concepts of structured decomposition and the reconstructables matrix are developed to provide insight into Mueller subspace coverage of pMMPs, while yielding a pMMP basis that allows the formation of ten classes of pMMP systems. A method for evaluating such systems while considering a multi-objective optimization of noise resilience and space coverage is provided. An example is presented for which the number of measurements was reduced to half. Third, the novel developments intended for channeled and partial systems are combined to form a previously undiscussed class of channeled partial Mueller matrix polarimeters (c-pMMPs). These systems leverage the gained understanding in manipulating the structure of the measurement to design modulations such that the desired pieces of information are mapped into channels with favorable reconstruction characteristics.
机译:已经证明,估计光的偏振在UV和LWIR波长之间的广泛应用中具有优势。这些任务包括目标识别,大气气溶胶特性估算,生物医学和其他应用。在所有这些应用中,偏振传感已被证明有助于区分能力。但是,由于许多现象的性质,很难在任何地方添加偏振感应。本文的目的是减少使用旋光仪的相关处罚,从而扩大其在其他领域的适用性。首先,一般将通道偏振仪系统的类别概括为将应用调制的傅立叶域与所得信息通道相关联。通过使用线性系统操作(而不是手工得出的算法),可以最大程度地提高重建质量,同时揭示可以立即进行性能评估的系统属性。除了根据均等加权方差(EWV)识别最佳系统之外,还提出了一种在所有信息通道之间重新分配误差的方法。这种发展的结果通常导致表面变化,与文献中的现有设计相比,这些变化可以将信噪比(SNR)提高多达三倍。第二,检查部分Mueller矩阵旋光仪(pMMP)的能力,以匹配完整系统实现的分辨性能水平。开发了结构分解和可重构矩阵的概念,以提供对pMMP的Mueller子空间覆盖的了解,同时产生pMMP基础,该基础允许形成十类pMMP系统。提供一种在考虑噪声弹性和空间覆盖的多目标优化的同时评估这种系统的方法。给出了一个示例,其中测量次数减少了一半。第三,旨在用于通道系统和部分系统的新颖开发相结合,形成了以前未讨论过的一类通道部分Mueller矩阵旋光仪(c-pMMP)。这些系统利用所获得的理解来操纵测量的结构以设计调制,从而将所需的信息映射到具有良好重构特性的通道中。

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  • 作者

    Alenin Andrey S.;

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  • 年度 2015
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  • 原文格式 PDF
  • 正文语种 en_US
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