基于遗传算法优化阵列构型的可预置稀疏阵关联成像研究
文献类型：学位论文
| 作者 | 吴瀚 |
| 文献子类 | 硕士 |
| 导师 | 龚文林 |
| 关键词 | 关联成像 Ghost Imaging 稀疏阵 Sparse Array 遗传算法 Genetic Algorithm |
| 其他题名 | Pre-settable Ghost Imaging via Sparse Array Optimal Designed by Genetic Algorithm |
| 英文摘要 | 相比于传统的使用激光穿越毛玻璃产生赝热光源等方法，稀疏阵赝热光源有诸多优点。比如：可以同时实现高的发射能量和高的采样速率等。但是，现有的稀疏阵赝热光源所对应的光场具有较强的周期性结构，导致成像视场极小，难以转化到具体的工程应用当中，故对现有的稀疏阵赝热光关联成像系统进行改进和优化，扩大有效成像视场具有重要实际意义。 本论文采用遗传算法，对稀疏阵赝热光源的阵列构型进行了优化设计，使得赝光源的所对应光场的周期性被充分破坏，从而扩大了有效成像视场，消除了成像过程中产生的伪像。同时，提出一种使用稀疏排布的小尺寸单像素探测器阵列替代大尺寸桶探测器的方法，并且使用遗传算法对稀疏接收系统的阵型进行了优化。在此基础上，设计出了一种光纤稀疏阵可预置赝热光源方案，有望发展成为一套高发射能量、高采样速率的激光遥感探测成像系统。 论文的安排如下： 第一章为引言，简单阐述了本论文选题的研究背景和意义，并且阐明了稀疏发射和稀疏接收系统应用于关联成像系统中的优势，以及对稀疏发射和稀疏系统的构型进行优化设计的必要性。 第二章简单介绍了关联成像和遗传算法的相关知识和研究进展，并且介绍了稀疏阵赝热光源中的重要参数，提出了以G2函数为赝热光场的评价标准；以及通过介绍稀疏阵赝热光成像系统的研究现状指出对其结构进行优化设计的重大意义；并且给出了使用遗传算法进行优化设计的大体思路。 第三章介绍了基于遗传算法的稀疏阵赝热光源和稀疏接收阵列构型优化设计的具体过程，对于针对问题模型从而改进的遗传算法的细节进行了详细说明。然后给出了优化设计后的稀疏发射和稀疏接收系统的仿真和实验测试结果，验证了其有效性及优越性。最后，以计算机仿真的形式，通过比较优化设计的稀疏发射和稀疏接收系统在不同性噪比噪声下的成像结果和无噪声下的成像结果的MSE量化分析了其抗噪性。 第四章首先阐明了研发一种光纤稀疏阵可预置赝热光源的重要意义，然后给出了设计这样一种赝热光源的基本思路，最后给出了这种光纤稀疏阵可预置赝热光源的具体结构设计。 第五章对本文所做的工作作了总结，并对下一步的研究工作提出了建议。; Compare to the traditional way of generating pseudo-thermal light that passing a laser though a rotating ground glass disk, the sparse structured illumination source has various superiorities, such as, being able to realize high emitting energy and sampling speed at the same time. But the light field generated by the current sparse structured illumination source has strong periodicity, which lead to a very small imaging region, so that the source cannot be utilized in real applications. Therefore, it is highly significant to improve and optimize the current system of ghost imaging via sparse structured illumination source to expend the imaging region. In the thesis, genetic algorithm is applied to optimal design the structure of sparse structured illumination source to sufficiently destroy the periodicity of the light field generated by the source, so that the imaging region can be expended and the pseudo images generated in the imaging process can be eliminated. Meanwhile, the thesis proposes a method of utilizing a sparse structured detecting system consisted of various small-sized single pixel detectors to replace a large-sized bucket detector, and optimizes the structure of the sparse structured detecting system via genetic algorithm. And based on the research mentioned above, the thesis proposes a design scheme of a pre-settable multi-fiber sparse array pseudo-thermal light source, which can hopefully develop into a laser remote sensing detection system with high emitting energy and high sampling speed. The thesis is organized as follow： Chapter 1 is the introduction of the thesis,which briefly introducesthe background and significance of the research, and illuminates the advantages of the sparse structured illumination source and the sparse structured detecting systemin ghost imaging system, and also expounds the significance tooptimal design their structures. Chapter 2 briefly introducesthe related knowledge and research progress of ghost imaging and genetic algorithm, and then introduces the vital parameters of the sparse structured illumination source, and proposesG2 function to be the evaluation criterion of the pseudo-thermal light field, and then introduces the research status of the sparse structured illumination source to illuminates the significance of optimal designing its structure, and also proposed the main idea ofthe process of optimal design based on genetic algorithm. Chapter 3 introduces the specific procedure of optimal design of the sparse structured illumination source and the sparse structured detecting system based on genetic algorithm, and shows the the details of the modified genetic algorithm for the mathematical model of the problem, and then proposes the results of numerical simulations and experiments of testing the optimal designed sparse structured illumination source and the sparse structured detecting system, which gives verifications to their availabilities and advantages, and then quantifies and analyzes the noise immunity of them by comparing the MSE of the imaging results under different noise and noiseless state. Chapter 4 firstly illuminates the significance of developing a pre-settable multi-fiber sparse array pseudo-thermal light source, and then proposes the main idea of developing such a light source, and in the end introduces its design scheme. Chapter 5 provides the advertisements to future research and the summary of the thesis. |
| 学科主题 | 光学工程 |
| 源URL | [http://ir.siom.ac.cn/handle/181231/31136]  |
| 专题 | 中国科学院上海光学精密机械研究所 |
| 作者单位 | 中国科学院上海光学精密机械研究所 |
| 推荐引用方式 GB/T 7714 | 吴瀚. 基于遗传算法优化阵列构型的可预置稀疏阵关联成像研究[D]. |
入库方式： OAI收割
来源：上海光学精密机械研究所
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