基于频带提取器的混沌时延信号抑制和熵增长增强
Chaotic Time-Delay Signature Suppression and Entropy Growth Enhancement Using Frequency-Band Extractor
摘要：
采用频带提取的方法，从理论和实验上研究了不同注入电流和反馈强度下，混沌光反馈半导体激光器的时间延迟信号（TDS）抑制和熵增长增强.通过自相关函数的峰值和反馈延迟时刻的排列熵差来量化TDS和熵增长。在最佳提取带宽下，测量的TDS比原始混沌抑制了96%，熵增长大于噪声主导阈值，表明动力学过程是噪声的。从实验和理论上阐明了提取带宽和射频对TDS和熵增长的影响。实验结果与理论计算结果吻合较好。在最佳提取带宽下，激光光强分布的偏斜度有效地改善到0.001。该技术为混沌保密通信和随机数产生提供了一种很有前途的工具，以提取随机性和准备所需的熵源。
英文摘要：
By frequency-band extracting, we experimentally and theoretically investigate time-delay signature (TDS) suppression and entropy growth enhancement of a chaotic optical-feedback semiconductor laser under different injection currents and feedback strengths. The TDS and entropy growth are quantified by the peak value of autocorrelation function and the difference of permutation entropy at the feedback delay time. At the optimal extracting bandwidth, the measured TDS is suppressed up to 96% compared to the original chaos, and the entropy growth is higher than the noise-dominated threshold indicating that the dynamical process is noisy. The effects of extracting bandwidth and radio frequencies on the TDS and entropy growth are also clarified experimentally and theoretically. The experimental results are in good agreements with the theoretical results. The skewness of the laser intensity distribution is effectively improved to 0.001 with the optimal extracting bandwidth. This technique provides a promising tool to extract randomness and prepare desired entropy sources for chaotic secure communication and random number generation.
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