利用光反馈半导体激光器产生的混沌激光作为随机数发生器的物理熵源,通过8位ADC将熵源信息转化为二进制码,并经后续差分运算处理改善其随机性,最终获得了1Gbit/s的随机数.所产生的随机数通过了NIST Special Publication 800-22的全部测...利用光反馈半导体激光器产生的混沌激光作为随机数发生器的物理熵源,通过8位ADC将熵源信息转化为二进制码,并经后续差分运算处理改善其随机性,最终获得了1Gbit/s的随机数.所产生的随机数通过了NIST Special Publication 800-22的全部测试项.展开更多
A correlation-based digital background calibration algorithm for pipelined Analog-to- Digital Converters (ADCs) is presented in this paper. The merit of the calibration algorithm is that the main errors information, w...A correlation-based digital background calibration algorithm for pipelined Analog-to- Digital Converters (ADCs) is presented in this paper. The merit of the calibration algorithm is that the main errors information, which include the capacitor mismatches and residue amplifier distortion, are extracted integrally. A modified 1st pipelined stage is adopted to solve the signal overflow caused by the Pseudo-random Noise (PN) sequences. Behavioral simulation results verify the effectiveness of the algorithm. It improves the Signal-to-Noise-plus-Distortion Ratio (SNDR) and Spurious-Free-Dynamic-Range (SFDR) of the pipelined ADC from 41.8 dB to 78.3 dB and 55.6 dB to 98.6 dB, respectively, which is comparable to the prior arts.展开更多
高采样速率、高分辨率数/模转换器(DAC)是量子噪声随机加密(QNRC)系统性能提升的核心器件之一,一直制约着QNRC系统技术发展。为了探究不同的DAC采样速率和分辨率对QNRC系统性能的影响,采用VPItransmission Maker Optical System 9.1软...高采样速率、高分辨率数/模转换器(DAC)是量子噪声随机加密(QNRC)系统性能提升的核心器件之一,一直制约着QNRC系统技术发展。为了探究不同的DAC采样速率和分辨率对QNRC系统性能的影响,采用VPItransmission Maker Optical System 9.1软件进行系统仿真设计.首先,搭建了介观态功率为-21 d Bm、传输距离为1000 km、传输速率为10 Gb/s和密文态数目为28-1的基于相移键控的QNRC系统;然后,改变DAC的采样速率、分辨率,对QNRC系统的性能进行对比分析。分析结果表明:当DAC的采样速率、分辨率分别为30 Gb/s、6 bit时,QNRC系统的性价比最佳。展开更多
基金Supported by the Doctoral Program Foundation of Institutions of Higher Education of China (No.20120111120008)State Key Lab of ASIC & System(Fudan University) (No. 11KF001)Special Fund for Doctoral Program (Hefei University of Technology) (No.2011HGBZ0953)
文摘A correlation-based digital background calibration algorithm for pipelined Analog-to- Digital Converters (ADCs) is presented in this paper. The merit of the calibration algorithm is that the main errors information, which include the capacitor mismatches and residue amplifier distortion, are extracted integrally. A modified 1st pipelined stage is adopted to solve the signal overflow caused by the Pseudo-random Noise (PN) sequences. Behavioral simulation results verify the effectiveness of the algorithm. It improves the Signal-to-Noise-plus-Distortion Ratio (SNDR) and Spurious-Free-Dynamic-Range (SFDR) of the pipelined ADC from 41.8 dB to 78.3 dB and 55.6 dB to 98.6 dB, respectively, which is comparable to the prior arts.
