中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Noise Analysis and Optimization of a Unity Gain Sampler

文献类型:会议论文

作者Wang X(王霄); Zhao YH(赵耀宏); Qiao J(乔俊); Shi ZL(史泽林)
出版日期2017
会议名称2nd IEEE International Conference on Integrated Circuits and Microsystems (ICICM)
会议日期November 8-11, 2017
会议地点Nanjing, CHINA
关键词Unity gain sampler noise model thermal noise correlated double sampling time domain noise simulation
页码78-81
通讯作者Wang X(王霄)
中文摘要Noise analysis of a widely used switched capacitor unity gain sampler is presented, which in detail shows that the circuit structure can not only get rid of the offset voltage induced by the OTA involved, but also has the ability of suppressing 1/f noise with operation timing of the sampling capacitor, functioning as correlated double sampling in fact, however paying the price of increasing thermal noise. The noise analysis method starts from establishing noise model for the sampler in each individual clock phase. Then based on the characteristic of charge transferring by capacitors and theory of random process, the output noise power contributed by each noise source is derived, the key point of which is that how to determine whether the process of some noise source in some phase transferring to the output node is effected by filtering. At last optimization design for the capacitor elements, which determine the whole noise power, is conducted.
收录类别EI ; CPCI(ISTP)
产权排序1
会议录2017 2ND IEEE INTERNATIONAL CONFERENCE ON INTEGRATED CIRCUITS AND MICROSYSTEMS (ICICM)
会议录出版者IEEE
会议录出版地NEW YORK
语种英语
ISBN号978-1-5386-3506-3
WOS记录号WOS:000425209500017
源URL[http://ir.sia.cn/handle/173321/21557]  
专题沈阳自动化研究所_光电信息技术研究室
作者单位1.Shenyang Institute of Automation, Chinese Academy of Sciences
2.Key Laboratory of Opto-Electronic Information Processing, Chinese Academy of Sciences, Shenyang 110016, China
推荐引用方式
GB/T 7714
Wang X,Zhao YH,Qiao J,et al. Noise Analysis and Optimization of a Unity Gain Sampler[C]. 见:2nd IEEE International Conference on Integrated Circuits and Microsystems (ICICM). Nanjing, CHINA. November 8-11, 2017.

入库方式: OAI收割

来源:沈阳自动化研究所

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