Suppr超能文献

用于全息数据存储的共线非干涉相位检索

Collinear non-interferometric phase retrieval for holographic data storage.

作者信息

Hao Jianying, Wang Kun, Zhang Yuanying, Li Hui, Lin Xiao, Huang Zhiyun, Tan Xiaodi

出版信息

Opt Express. 2020 Aug 31;28(18):25795-25805. doi: 10.1364/OE.400599.

Abstract

A collinear non-interferometric phase retrieval method for holographic data storage is proposed. The code rate of the collinear system can be increased by 2 times due to transferring the 50% embedded data from a signal beam to a reference beam. Because the reference beam should be always known both in the recording process and reading process, there is no extra material cost for saving the embedded data. Therefore, the storage density of collinear system is increased by about 2 times compared with previous off-axis non-interferometric phase retrieval systems. Besides, we can enhance the algorithm constraint to shorten iteration numbers by increasing the amplitude weight of the reference beam. In the experiment, we shortened the iteration number and the BER by about 3 times. We also find that the reference number can be reduced by using the collinear way and increasing the amplitude weight of reference. This law allows us to give more code positions to signal so that the data amount in one data page can be increased.

摘要

提出了一种用于全息数据存储的共线非干涉相位检索方法。由于将50%的嵌入数据从信号光束转移到参考光束,共线系统的编码率可提高2倍。因为在记录过程和读取过程中都应始终知道参考光束,所以存储嵌入数据没有额外的材料成本。因此,与以前的离轴非干涉相位检索系统相比,共线系统的存储密度提高了约2倍。此外,我们可以通过增加参考光束的幅度权重来增强算法约束,以缩短迭代次数。在实验中,我们将迭代次数和误码率缩短了约3倍。我们还发现,使用共线方式并增加参考的幅度权重可以减少参考数量。这一规律使我们能够为信号提供更多的编码位置,从而增加一个数据页中的数据量。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验