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基于滤波反馈宽带平坦混沌信号的快速物理随机比特产生

刘远 袁冀扬 周心雨 谷双全 周沛 穆鹏华 李念强

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基于滤波反馈宽带平坦混沌信号的快速物理随机比特产生

刘远, 袁冀扬, 周心雨, 谷双全, 周沛, 穆鹏华, 李念强

Fast physical random bit generation of wideband flat chaos signal based on filter feedback

Liu Yuan, Yuan Ji-Yang, Zhou Xin-Yu, Gu Shuang-Quan, Zhou Pei, Mu Peng-Hua, Li Nian-Qiang
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  • 本文提出并实验证明了一种利用具有单滤波器光反馈的半导体激光器产生带宽增强混沌信号的方案. 为了获得高品质的混沌信号, 方案中讨论了滤波器失谐频率和反馈功率等关键参数对混沌信号带宽和平坦度的影响. 结果表明, 通过选择合适的参数, 可以获得带宽为24.4 GHz、平坦度为5.7 dB的混沌信号. 将这种混沌信号作为熵源, 采用8位模数转换采样量化和多位最低有效位异或提取处理实现了320 Gbit/s的随机比特生成并采用国际公认的随机数行业测试标准(NIST SP 800-22)来检验产生的序列, 结果表明, 通过单滤波器光反馈半导体激光器后处理的混沌熵源所获取的随机数序列具有均匀的分布特性, 可以成功通过NIST SP 800-22的全部测试.
    Chaotic lasers feature wide spectrum and noise-like features, and extensively used in various fields, such as secure communications and random bit generation (RBG). Since the physical RBG using optical chaos was demonstrated first by Uchida et al., the optical chaos has been widely investigated in terms of chaos bandwidth and flatness, which determines the rate and randomness of RBG. Owing to the natural stability of semiconductor lasers, external perturbation is required to generate chaotic signals, such as optical injection, current modulation, and optical feedback. Among them, a semiconductor laser with optical feedback has attracted wide attention because of its simple structure and rich dynamic behaviors. Nonetheless, this configuration suffers the influence of the relaxation oscillation, which results in a limited bandwidth (a few GHz) and an uneven power spectrum. To obtain broad-spectrum chaotic signals, considerable efforts have been made in recent years. However, these solutions are associated with complex structures that require delicate manipulation because multiple parameters should be matched, so the cost of some of these schemes in terms of the system complexity can potentially outweigh the benefits.In this work, we incorporate an optical filter and an amplifier into the feedback loop of a conventional optical feedback system to generate broadband chaotic signals. The effects of the filter detuning frequency and feedback power on the bandwidth and flatness of the chaotic output are investigated experimentally. The experimental results demonstrate that by appropriately adjusting the feedback power and detuning frequency, both the low-frequency components and the high-frequency components of the chaotic output power spectrum can be increased, and the maximum chaotic bandwidth can reach 24.4 GHz with a flatness of 5.7 dB. This phenomenon is attributed to the physical process of beating between the filtered mode and the internal modes of the laser. Furthermore, the optimized chaotic output is processed by retaining the 4 least significant bits and implementing the delayed exclusive-OR (XOR) operation. Our scheme is capable of generating physical random number of the bit rate of 320 Gbit/s, and successfully passes the standard randomness test, i.e. the NIST test (NIST SP 800-22).
      通信作者: 周沛, peizhou@suda.edu.cn ; 李念强, nli@suda.edu.cn
    • 基金项目: 国家自然科学基金(批准号: 62004135, 62001317, 62171305)和江苏省高等学校自然科学研究重大项目(批准号: 20KJA416001)资助的课题.
      Corresponding author: Zhou Pei, peizhou@suda.edu.cn ; Li Nian-Qiang, nli@suda.edu.cn
    • Funds: Project supported by the National Natural Science Foundation of China (Grant Nos. 62004135, 62001317, 62171305) and the Natural Science Research Project of Jiangsu Higher Education Institutions (Grant No. 20KJA416001).
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    Li H Y, Yang Y, Huang C M, Dai L Q, Cheng M F, Xiong X, Yang Q, Tang M, Liu D M, Deng L 2022 Opt, Lett. 47 118Google Scholar

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    Ke J X, Yi L L, Yang Z, Yang Y P, Zhuge Q B, Chen Y P, Hu W S 2019 Opt. Lett. 44 5776Google Scholar

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    钟东洲, 曾能, 杨华, 徐喆 2021 物理学报 70 074206Google Scholar

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    Chai M M, Qiao L J, Zhang M J, Wang A B, Yang Q, Zhang J Z, Wang T, Gao S H 2020 IEEE J. Quantum Electron. 56 1Google Scholar

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    Han H, Zhang M J, Shore K A 2019 IEEE J. Quantum Electron. 55 1Google Scholar

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    Yin X M, Zhong Z Q, Zhao L J, Lu D, Qiu H Y, Xia G Q, Wu Z M 2015 Opt. Commun. 355 551Google Scholar

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    Chen J J, Wu Z M, Tang X, Deng T, Fan L, Zhong Z Q, Xia G Q 2015 Opt. Express 23 7173Google Scholar

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    Hong Y H, Spencer P S, Shore K A 2014 IEEE J. Quantum Electron. 50 236Google Scholar

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    陈俊, 陈建军, 吴正茂, 蒋波, 夏光琼 2016 物理学报 65 164204Google Scholar

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    Chang D, Zhong Z, Tang J, Spencer P S, Hong Y 2020 Opt. Express 28 39076Google Scholar

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    Jiang N, Zhao A K, Liu S Q, Xue C P, Wang B Y, Qiu K 2018 Opt. Lett. 43 5359Google Scholar

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    Jiang N, Wang Y J, Zhao A K, Liu S Q, Zhang Y Q, Chen L, Li B C, Qiu K 2020 Opt. Express 28 1999Google Scholar

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    Zhong Z Q, Lin G R, Wu Z M, Yang J Y, Chen J J, Yi L L, Xia G Q 2017 IEEE Photonic. Tech. L 29 1506Google Scholar

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    Wang L S, He Q Q, Wang A B, Wang Y C 2022 IEICE Nonlin. Theory Appl. 13 36Google Scholar

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    Li P, Cai Q, Zhang J G, Xu B J, Liu Y M, Bogris A, Shore K A, Wang Y C 2019 Opt. Express 27 17859Google Scholar

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    Yang Q, Qiao L J, Wei X J, Zhang B X, Chai M M, Zhang J Z, Zhang M J 2021 J. Lightwave Technol. 39 6246Google Scholar

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    Lin F Y, Liu J M 2003 Opt. Commun. 221 173Google Scholar

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    Hong Y H, Chen X F, Spencer P S, Shore K A 2015 IEEE J. Quantum Electron. 51 1200106Google Scholar

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    Hart J D, Terashima Y, Uchida A, Baumgartner G B, Murphy T E, Roy R 2017 APL Photonics 2 090901Google Scholar

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    Chizhevsky V N 2010 Phys. Rev. E 82 050101

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    Reidler I, Aviad Y, Rosenbluh M, Kanter I 2009 Phys. Rev. Lett. 103 024102Google Scholar

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    Li X Z, Chan S C 2013 IEEE J. Quantum Electron. 49 829Google Scholar

  • 图 1  宽带混沌信号产生的实验装置, 其中DFB-LD为分布反馈半导体激光器; CIR为循环器; OC为光耦合器; EDFA为掺铒光纤放大器; VOA为可变光衰减器; PC为偏振控制器; OSA为光谱分析仪; PD为光电探测器; EC为电耦合器; ESA为电频谱分析仪; OSC为示波器

    Fig. 1.  Experimental setup for the generation of a broadband chaotic signal. DFB-LD: distributed feedback laser diode; CIR: circulator; OC: optical coupler; EDFA: erbium-doped fiber amplifier; VOA: variable optical attenuator; PC: polarization controller; OSA: optical spectrum analyzer; PD: photoelectric detector; EC: electrical coupler; ESA: electrical spectrum analyzer; OSC: oscilloscope.

    图 2  (a) 功率谱; (b) 光谱

    Fig. 2.  (a) The power spectra; (b) the optical spectra.

    图 3  频率失谐Δν对混沌输出的影响. 光谱(左列), 功率谱(右列), 其中 (a1), (a2) ${\Delta } {\nu }=$–64 GHz; (b1), (b2) ${\Delta } {\nu }=$–54 GHz; (c1), (c2) ${\Delta } {\nu }=$–24 GHz; (d) 混沌带宽和平坦度随频率失谐的演化情况

    Fig. 3.  The effects of filter frequency detuning ${\Delta } {\nu }$ on the output of chaos. The optical spectra (left column) and corresponding power spectra (right column) of chaos generated with the filter frequency detuning (a1) (a2) ${\Delta } {\nu }=$–64 GHz; (b1) (b2) –54 GHz; (c1) (c2) –24 GHz ; (d) the BW and flatness of chaos as functions of filter frequency detuning.

    图 4  滤波反馈功率对混沌输出的影响. 光谱(左列), 功率谱(右列), 其中反馈功率$ {P}_{\rm{f}} $ (a1) (a2) 0.718 mW; (b1) (b2) 1.486 mW; (c1) (c2) 3 mW; (d) 混沌带宽和平坦度随反馈功率的演化情况

    Fig. 4.  The effects of filter feedback power on the output of chaos. optical spectra (left column) and corresponding power spectra (right column) of chaos generated from the filter feedback scheme, where the feedback power $ {P}_{\rm{f}} $ (a1) (a2) 0.718 mW; (b1) (b2) 1.486 mW; (c1) (c2) 3 mW; (d) the BW and flatness of chaos as functions of the filter feedback power.

    图 5  (a) 时间序列; (b) 概率密度分布

    Fig. 5.  (a) Time trace; (b) probability density distribution.

    图 6  高速物理随机数生成的后处理流程图.

    Fig. 6.  Flow chart of post-processing for high-speed physical random number generation.

    图 7  物理随机比特的NIST统计测试结果.

    Fig. 7.  Results of NIST statistical tests for physical random bits.

  • [1]

    Li H Y, Yang Y, Huang C M, Dai L Q, Cheng M F, Xiong X, Yang Q, Tang M, Liu D M, Deng L 2022 Opt, Lett. 47 118Google Scholar

    [2]

    Ke J X, Yi L L, Yang Z, Yang Y P, Zhuge Q B, Chen Y P, Hu W S 2019 Opt. Lett. 44 5776Google Scholar

    [3]

    Li N Q, Kim B, Chizhevsky V N, Locquet A, Bloch M, Citrin D S, Pan W 2014 Opt. Express 22 6634Google Scholar

    [4]

    Uchida A, Amano K, Inoue M, Hirano K, Naito S, Someya H, Oowada I, Kurashige T, Shiki M, Yoshimori S, Yoshimura K, Davis P 2008 Nat. Photonics 2 728Google Scholar

    [5]

    Cheng C H, Chen C Y, Chen J D, Pan D K, Ting K T, Lin F Y 2018 Opt. Express 26 12230Google Scholar

    [6]

    Zhang M J, Liu H, Zhang J Z, Liu Y, Liu R X 2017 IEEE Photon. J. 9 1600610Google Scholar

    [7]

    钟东洲, 曾能, 杨华, 徐喆 2021 物理学报 70 074206Google Scholar

    Zhong D Z, Zeng N, Yang H, Xu Z 2021 Acta Phys. Sin. 70 074206Google Scholar

    [8]

    Chai M M, Qiao L J, Zhang M J, Wang A B, Yang Q, Zhang J Z, Wang T, Gao S H 2020 IEEE J. Quantum Electron. 56 1Google Scholar

    [9]

    Han H, Zhang M J, Shore K A 2019 IEEE J. Quantum Electron. 55 1Google Scholar

    [10]

    Yin X M, Zhong Z Q, Zhao L J, Lu D, Qiu H Y, Xia G Q, Wu Z M 2015 Opt. Commun. 355 551Google Scholar

    [11]

    Chen J J, Wu Z M, Tang X, Deng T, Fan L, Zhong Z Q, Xia G Q 2015 Opt. Express 23 7173Google Scholar

    [12]

    Hong Y H, Spencer P S, Shore K A 2014 IEEE J. Quantum Electron. 50 236Google Scholar

    [13]

    陈俊, 陈建军, 吴正茂, 蒋波, 夏光琼 2016 物理学报 65 164204Google Scholar

    Chen J, Chen J J, Jiang B, Xia G Q 2016 Acta Phys. Sin. 65 164204Google Scholar

    [14]

    Chan S C, Tang W K S 2009 Int. J. Bifurcat. Chaos 19 3417Google Scholar

    [15]

    Zeng Y, Zhou P, Huang Y, Li N Q 2021 Appl. Optics 60 7963Google Scholar

    [16]

    Ruan J, Chan S C 2022 Opt. Lett. 47 858Google Scholar

    [17]

    Hao Y Z, Ma C G, Shen Z Z, Li J C, Xiao J L, Yang Y D, Huang Y Z 2021 Opt. Lett. 46 2115Google Scholar

    [18]

    Chang D, Zhong Z, Tang J, Spencer P S, Hong Y 2020 Opt. Express 28 39076Google Scholar

    [19]

    Zhao A K, Jiang N, Liu S Q, Xue C P, Tang J M, Qiu K 2019 Opt. Express 27 12336Google Scholar

    [20]

    Jiang N, Zhao A K, Liu S Q, Xue C P, Wang B Y, Qiu K 2018 Opt. Lett. 43 5359Google Scholar

    [21]

    Bouchez G, Uy C H, Macias B, Wolfersberger D, Sciamanna M 2019 Opt. Lett. 44 975Google Scholar

    [22]

    Schires K, Gomez S, Gallet A, Duan G H, Grillot F 2017 IEEE J. Sel. Top. Quant. 23 1Google Scholar

    [23]

    Yang Q, Qiao L J, Zhang M J, Zhang J Z, Wang T, Gao S H, Chai M M, Mohiuddin P M 2020 Opt. Lett. 45 1750Google Scholar

    [24]

    Jiang N, Wang Y J, Zhao A K, Liu S Q, Zhang Y Q, Chen L, Li B C, Qiu K 2020 Opt. Express 28 1999Google Scholar

    [25]

    Guo Y, Liu W, Huang Y, Sun Y, Zinsou R, He Y, Zhang R 2022 Opt. Express 30 3148Google Scholar

    [26]

    Zhong Z Q, Lin G R, Wu Z M, Yang J Y, Chen J J, Yi L L, Xia G Q 2017 IEEE Photonic. Tech. L 29 1506Google Scholar

    [27]

    Wang L S, He Q Q, Wang A B, Wang Y C 2022 IEICE Nonlin. Theory Appl. 13 36Google Scholar

    [28]

    Li P, Cai Q, Zhang J G, Xu B J, Liu Y M, Bogris A, Shore K A, Wang Y C 2019 Opt. Express 27 17859Google Scholar

    [29]

    Yang Q, Qiao L J, Wei X J, Zhang B X, Chai M M, Zhang J Z, Zhang M J 2021 J. Lightwave Technol. 39 6246Google Scholar

    [30]

    Zhao A K, Jiang N, Peng J F, Liu S Q, Zhang Y Q, Qiu K 2022 Opto-Electron Adv. 5 200026Google Scholar

    [31]

    Ma C G, Xiao J L, Xiao Z X, Yang Y D, Huang Y Z 2022 Light Sci. Appl. 11 187Google Scholar

    [32]

    Lin F Y, Liu J M 2003 Opt. Commun. 221 173Google Scholar

    [33]

    Hong Y H, Chen X F, Spencer P S, Shore K A 2015 IEEE J. Quantum Electron. 51 1200106Google Scholar

    [34]

    Hart J D, Terashima Y, Uchida A, Baumgartner G B, Murphy T E, Roy R 2017 APL Photonics 2 090901Google Scholar

    [35]

    Chizhevsky V N 2010 Phys. Rev. E 82 050101

    [36]

    Reidler I, Aviad Y, Rosenbluh M, Kanter I 2009 Phys. Rev. Lett. 103 024102Google Scholar

    [37]

    Li X Z, Chan S C 2013 IEEE J. Quantum Electron. 49 829Google Scholar

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出版历程
  • 收稿日期:  2022-06-13
  • 修回日期:  2022-07-20
  • 上网日期:  2022-11-09
  • 刊出日期:  2022-11-20

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