位移涡旋透镜相位量化时离轴衍射阶数的产生

IF 1 Q4 OPTICS
O. A. Dyukareva, A. V. Ustinov
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引用次数: 0

摘要

利用最大数量的自由度复用信号是光信息传输领域的一项重要任务。光束幅相结构的变化可以为编码和复用光信号提供广泛的可能性,并且不需要复杂的光学系统或昂贵的设备。本文分析了在给定能级上量子化相涡移透镜聚焦激光辐射的结果。结果表明,位移量子化透镜可以在光轴外获得可变数量的局部强度最大值。使用位移量子化涡流透镜可以记录有用的信号,并检测到单个涡流光束及其在光轴外的叠加。我们还可以注意到,量化参数对光束强度传播影响的研究表明,消除固定衍射阶的可能性。单个量化水平产生的衍射阶占能量(权重)的相等份额,因此是更复杂的检测任务(包括权重识别)的候选者。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Generation of Off-Axis Diffraction Orders at the Quantization of Shifted Vortex Lens Phase

Generation of Off-Axis Diffraction Orders at the Quantization of Shifted Vortex Lens Phase

Multiplexing a signal using the largest number of freedom degrees is an important task in the field of optical information transmission. Variations in the beams amplitude-phase structure can provide a wide range of possibilities for encoding and multiplexing optical signals and do not require complex optical systems or expensive devices. The paper analyzes the results of focusing laser radiation using phase vortex shifted lens quantized at a given level. It is shown that a shifted quantized lens makes it possible to obtain a variable number of local intensity maxima out of the optical axis. The use of a shifted quantized vortex lens made it possible to register a useful signal and detect both individual vortex beams and their superpositions out of the optical axis. We can also note that studies of the quantization parameter influence on the propagation of beam intensity have shown the possibility of eliminating fixed diffraction orders. Individual quantization levels produce diffraction orders that account for equal shares of energy (weights), and are thus candidates for more complex detection tasks that also include weight recognition.

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来源期刊
CiteScore
1.50
自引率
11.10%
发文量
25
期刊介绍: The journal covers a wide range of issues in information optics such as optical memory, mechanisms for optical data recording and processing, photosensitive materials, optical, optoelectronic and holographic nanostructures, and many other related topics. Papers on memory systems using holographic and biological structures and concepts of brain operation are also included. The journal pays particular attention to research in the field of neural net systems that may lead to a new generation of computional technologies by endowing them with intelligence.
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