A 0.69-Noise-Efficiency-Factor 4 x-Current-Reuse Dynamic Comparator with A Stacking FIA

比较器 前置放大器 电气工程 放大器 晶体管 输入偏移电压 噪音(视频) 计算机科学 运算跨导放大器 电子工程 物理 电压 运算放大器 工程类 CMOS芯片 人工智能 图像(数学)
作者
Haoyu Zhuang,Nan Sun,Yirui Cao,Linzhi Tao,Qiang Li
标识
DOI:10.1109/cicc57935.2023.10121319
摘要

Comparator is a connection between the analog and digital worlds [1] –[5]. A low-noise and low-power comparator is important in many applications, such as SAR ADC. Traditionally, such a comparator is realized as the Strong-Arm (SA) latch. It has the advantage of fullydynamic operation and embedded pre-amplifier. However, its preamplifier gain is as low as 4 5, which increases the input-referred noise and offset. In recent years, there are many efforts to design a more efficient dynamic comparator. Both [1] and [2] improve the dynamic-bias comparator of [3] that is based on the subthreshold-biased input transistors for large $\mathrm{g}_{\mathrm{m}} / \mathrm{l}_{\mathrm{D}}$. Among them, [1] uses a floating inverter amplifier (FIA) as the pre-amplifier. This pre-amplifier has a large voltage gain of approximately 30, which suppresses the noise and offset effectively. It realizes a 2-times current reuse, improving the energy efficiency. However, the energy efficiency can hardly be improved further, since it is independent of the device sizes. The current reuse is also limited to 2 times, which is far away from the maximum possible times (for example, 4 times in this work). [2] uses a charge pump and capacitive positive feedback for faster speed but at the cost of increased power. Its noise is also as large as $174 \mu \mathrm{V} \mathrm{rms}$, which is 3.8 times larger than [1].
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
鳗鱼傲柏完成签到,获得积分10
刚刚
hyman1218完成签到 ,获得积分10
刚刚
weiCli完成签到,获得积分20
刚刚
刚刚
鱼山发布了新的文献求助10
刚刚
1秒前
勤奋靖易完成签到,获得积分10
1秒前
chenxiang发布了新的文献求助10
2秒前
魔山西红柿完成签到,获得积分10
2秒前
一只滦完成签到,获得积分10
2秒前
谨慎的花生完成签到,获得积分10
2秒前
李狗蛋完成签到,获得积分10
3秒前
聪慧不可完成签到,获得积分10
3秒前
侯妍冰完成签到,获得积分10
5秒前
小梦完成签到,获得积分10
5秒前
5秒前
Hello应助科研通管家采纳,获得10
5秒前
sdd211完成签到,获得积分10
5秒前
JamesPei应助科研通管家采纳,获得10
5秒前
科目三应助科研通管家采纳,获得10
6秒前
6秒前
Lucas应助科研通管家采纳,获得10
6秒前
huang应助科研通管家采纳,获得10
6秒前
天天快乐应助科研通管家采纳,获得30
6秒前
烟花应助科研通管家采纳,获得30
6秒前
王令完成签到,获得积分10
6秒前
拼搏的败完成签到 ,获得积分10
6秒前
Iris完成签到,获得积分10
7秒前
NiL完成签到,获得积分10
7秒前
8秒前
zhang完成签到,获得积分10
8秒前
华仔应助侯妍冰采纳,获得10
8秒前
可靠的千凝完成签到 ,获得积分10
9秒前
Alice完成签到,获得积分10
9秒前
Aiden完成签到,获得积分10
9秒前
大王最厉害啦完成签到,获得积分10
9秒前
wanghaha发布了新的文献求助10
10秒前
石榴姐姐完成签到,获得积分10
10秒前
木香完成签到,获得积分10
10秒前
123完成签到,获得积分10
11秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Molecular Mechanisms of Photosynthesis, 4th Edition 1000
Organic Reactions, Volume 116 1000
Matrix Methods in Data Mining and Pattern Recognition 510
Social Skills Improvement System-Rating Scales--Chinese Version 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7253008
求助须知:如何正确求助?哪些是违规求助? 8875175
关于积分的说明 18735271
捐赠科研通 6933598
什么是DOI,文献DOI怎么找? 3199840
关于科研通互助平台的介绍 2374606
邀请新用户注册赠送积分活动 2174506