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2022 IEEE International Conference on Integrated Circuits, Technologies and Applications (ICTA)最新文献

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A Multiplying Delay-Locked Loop design with low jitter and high linearity 一种具有低抖动和高线性度的倍增锁相环设计
Jiahao Hu, Zhongxian Huang, B. Duan, Qing Li, Ziqi Song, Dian He
In this paper, a Multiplying Delay-Locked Loop (MDLL) for high-precision Time to Digital Converter(TDC) is proposed, which has low jitter and high delay linearity. In order to reduce the phase noise, an internally compensated charge pump(CP) is used to achieve better current matching between charging and discharging. The improved reverse differential delay cell structure is used to improve the resolution of multi-phase clock. An MDLL with an output frequency of 80-240MHz and an area of 0.08mm2 is realized by using 0.18um CMOS process. The test results show that the total power consumption under 1.8V power supply is 11.52mW@240MHz, RMS jitter is 10ps@240MHz.
本文提出了一种用于高精度时数转换器(TDC)的乘式锁相环(MDLL),它具有低抖动和高延迟线性度。为了降低相位噪声,采用内补偿式电荷泵(CP)来实现更好的充放电电流匹配。采用改进的反向差分延迟单元结构,提高了多相时钟的分辨率。采用0.18um CMOS工艺,实现了输出频率为80 ~ 240mhz、面积为0.08mm2的MDLL。测试结果表明,在1.8V电源下,总功耗为11.52mW@240MHz,有效值抖动为10ps@240MHz。
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引用次数: 0
A Compact 60 GHz LNA with 22.7-dB Gain and 4.4-dB NF in 40nm CMOS 40nm CMOS中具有22.7 db增益和4.4 db NF的紧凑型60ghz LNA
Jiacong Ke, Guangyin Feng, Yanjie Wang
This paper presents a compact low-noise amplifier (LNA) design for 60 GHz phased-array applications. Utilizing single transformer-based 4th-order resonators for input and inter-stage matching, a compact core area of only 0.08mm2 is achieved. A unit transistor-cell layout design technique for millimeter-wave (mm-Wave) circuit design is adopted to reduce the uncertain high-frequency coupling effects, leading a peak gain of 22.7dB. A 4.4-dB noise figure (NF) and a 3-dB bandwidth from 54 to 63 GHz are achieved based on the post layout simulation results, with a total power consumption of 29.9 mW.
本文提出了一种适用于60 GHz相控阵应用的紧凑型低噪声放大器(LNA)设计。利用基于单变压器的四阶谐振器进行输入和级间匹配,实现了仅0.08mm2的紧凑核心面积。采用毫米波(mm-Wave)电路设计的单元晶体管-单元布局设计技术,减少了不确定的高频耦合效应,使峰值增益达到22.7dB。基于后置布局仿真结果,实现了4.4 db噪声系数(NF)和3db带宽(54 ~ 63 GHz),总功耗为29.9 mW。
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引用次数: 0
A 28nm, 4.69TOPS/W Training, 2.34µJ/lmage Inference, on-chip Training Accelerator with Inference-compatible Back Propagation 28nm, 4.69TOPS/W训练,2.34µJ/图像推理,具有推理兼容的反向传播的片上训练加速器
Haitao Ge, Weiwei Shan, Yicheng Lu, Jun Yang
Previous on-chip training accelerators improved training efficiency but seldomly considered inference efficiency. We propose to convert back propagation to be compatible with inference, use interleaved memory allocation to reduce external memory access and zero-skipping loss propagation. Working at 40MHz, 0.48V core voltage, our 28nm one-core OCT chip has peak training efficiency of 4.69TOPS/W and the best inference energy of 2.34 µJ/inf/ image, 9.1× better than SoTA work.
以前的片上训练加速器提高了训练效率,但很少考虑推理效率。我们建议将反向传播转换为与推理兼容,使用交错内存分配来减少外部内存访问和零跳损传播。我们的28nm单核OCT芯片工作在40MHz, 0.48V核心电压下,峰值训练效率为4.69TOPS/W,最佳推理能量为2.34µJ/inf/ image,比SoTA工作效率高9.1倍。
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引用次数: 0
A Low Frequency Drift LC-DCO with Wide Temperature Range 宽温度范围低频漂移LC-DCO
Jinrui Hu, Shuyue Fang, Haigang Feng, Xinpeng Xing, Han Wang, Lei Yang
A 2.4GHz LC-DCO with low frequency drift is presented to support frequency synthesizer under narrow band system like BLE. In the LC-DCO, a comprehensive temperature compensation scheme, which includes a Proportional To Absolute Temperature (PTAT) current bias and the varactor arrays varying linearly with voltage, is proposed to reduces the frequency drift of LC-DCO as a result of temperature fluctuations. By applying the circuit, frequency drift is reduced from 31MHz (without compensation) to 6MHz within the temperature from -40°C to 120 °C. And the results show that no extra in-band noise is added to LC tank. It consumes 860uW from a 0.9V supply in 40nm CMOS process technology.
为支持BLE等窄带系统下的频率合成器,设计了一种2.4GHz低频漂移LC-DCO。在LC-DCO中,提出了一种综合的温度补偿方案,该方案包括绝对温度比例(PTAT)电流偏置和随电压线性变化的变容管阵列,以减少温度波动导致的LC-DCO频率漂移。通过应用该电路,频率漂移从31MHz(无补偿)减少到6MHz,温度从-40°C到120°C。实验结果表明,LC储罐没有增加额外的带内噪声。采用40nm CMOS工艺技术,0.9V电源消耗860uW。
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引用次数: 0
A Broadband 20W GaN High Power Amplifier for Ku-band satellite communication ku波段卫星通信用宽带20W氮化镓大功率放大器
Yujie Liu, Zhilong Xiao, Shiquan Zhu, Huanpeng Wanq, Shuman Mao, Qingzhi Wu, R. Xu, B. Yan, Yuehang Xu
A Ku-band high power amplifier (HPA) is designed based on the 0.15µm GaN HEMT process. To improve the power added efficiency and gain, a high gate-width drive ratio of 1:6:38.4 is selected for a three-stage topology. Multi-order Chebyshev impedance transformers are used for realizing this high impedance transformation ratio match networks. Meanwhile, a compact 8-way power combining network with low insertion loss is adopted to improve the output power and power added efficiency. The measured results under continuous wave (CW) show that the small signal gain exceeds 30 dB over 13–17 GHz, and the input return loss (IRL) is better than -11dB. The output power is between 42–44 dBm and the power-added efficiency (PAE) is more than 30%. The chip size is 2.6 mm×4.3mm.
设计了一种基于0.15µm GaN HEMT工艺的ku波段高功率放大器。为了提高功率附加效率和增益,对于三级拓扑结构,选择了1:6:38.4的高栅极宽驱动比。采用多阶切比雪夫阻抗变压器实现高阻抗变换比匹配网络。同时,采用紧凑的低插入损耗8路并网,提高了输出功率和功率附加效率。连续波(CW)下的测量结果表明,在13-17 GHz范围内,小信号增益超过30 dB,输入回波损耗(IRL)优于-11dB。输出功率在42dbm ~ 44dbm之间,PAE (power-added efficiency)大于30%。芯片尺寸为2.6 mm×4.3mm。
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引用次数: 2
Long Short-Term Memory Networks for Behavioral Modeling of A GaN Sequential Power Amplifier 用于GaN顺序功率放大器行为建模的长短期记忆网络
Peng Chen, Yucheng Yu, Chao Yu
this paper investigates wideband behavioral modeling of Gallium Nitride (GaN) power amplifiers (PAs) using long short-term memory (LSTM) networks. Due to the memory mechanisms used in LSTM networks, they have the capability of accurately capturing both the short term and long term memory effects presenting in GaN PAs. The LSTM network-based model is verified experimentally on a GaN sequential power amplifier (SPA) under wideband multi-channel modulated signals, with showing good alignment between the modeled and measured data.
本文研究了基于长短期记忆(LSTM)网络的氮化镓(GaN)功率放大器(PAs)的宽带行为建模。由于LSTM网络中使用的记忆机制,它们具有准确捕获GaN PAs中出现的短期和长期记忆效应的能力。基于LSTM网络的模型在宽带多通道调制信号下的GaN顺序功率放大器(SPA)上进行了实验验证,结果表明模型与实测数据具有良好的一致性。
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引用次数: 1
Strain-regulated flexible molecular sensors enabled by 2D PtTe2 二维PtTe2实现应变调节柔性分子传感器
Zhehan Wang, Dingxuan Kang, Jiayi Chen, Xiao Xu, Xu Jing, Li Tao
Two-dimensional transition metal dichalcogenide (TMDs) holds great promise for future wearable technologies. The large-scale synthesis of TMDs and the investigation of their molecular sensing properties are current research hotspots. Herein, we construct flexible PtTe2 molecular sensors directly on polyimide, followed by the exploration on ammonia sensing properties and stability under strain. The sensor shows an excellent ammonia response of 0.4% ppm-1surpassing most reported semimetal-based sensors. In-situ sensing testing reveals 500% enhancement in response after controlled strain engineering, which suggests the potential to expand limit of detection and linearity range.
二维过渡金属二硫化物(TMDs)在未来的可穿戴技术中具有很大的前景。大规模合成tmd及其分子传感性能的研究是当前的研究热点。本文直接在聚酰亚胺上构建柔性PtTe2分子传感器,并对其应变下的氨传感性能和稳定性进行了研究。该传感器表现出优异的氨响应0.4% ppm-1,超过了大多数报道的半金属基传感器。原位传感测试表明,控制应变工程后的响应提高了500%,这表明了扩大检测极限和线性范围的潜力。
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引用次数: 0
TEDOP: A Tiny Event-Driven Neural Network Hardware Core Enabling On-Chip Spike-Driven Synaptic Plasticity TEDOP:一个微小的事件驱动的神经网络硬件核心,使芯片上的峰值驱动的突触可塑性
Cona Shi, Sihao Chen, Haibina Wana, Zhenaaina Zhona, P. Li, Junxian He, Tengxiao Wang, Jianyi Yu, Min Tian
For edge intelligent applications, this work proposes a tiny neuromorphic hardware core embedding high-speed on-chip synaptic plasticity, by adopting the proposed Temporal-Integrate neuron model and a simplified supervised spike-driven synaptic plasticity rule for on-chip learning. The proposed hardware core was prototyped on a very-low-cost Zybo Zynq-7010 FPGA device, and attained comparably high classification accuracies on many datasets (e.g. 90.4% on MNIST), with a learning and inference speed as high as 11,268 and 11,749 f $r$ ame/s, respectively, while dissipating only 39 mW power under a 250 MHz clock frequency.
对于边缘智能应用,本工作提出了一个嵌入高速片上突触可塑性的微小神经形态硬件核心,采用所提出的时间集成神经元模型和简化的监督spike驱动的片上学习突触可塑性规则。所提出的硬件核心在极低成本的Zybo Zynq-7010 FPGA器件上进行了原型设计,并在许多数据集上获得了相当高的分类精度(例如在MNIST上的90.4%),学习和推理速度分别高达11,268和11,749 f $r$ ame/s,而在250 MHz时钟频率下仅消耗39 mW功率。
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引用次数: 1
An Analytical Model for doping effect in charge-plasma-based TFET 基于电荷等离子体的TFET中掺杂效应的解析模型
Wenbo Li, Qian Xie, Zheng Wang
In this paper, an analytical model for electrostatic doping effect in the charge-plasma-based TFET (CP-TFET) is proposed by solving Poisson's equation incorporating the mobile charge term. Closed forms of vertical potential and electrostatic doping concentration in CP-TFETs are developed. Meanwhile, the impacts of the electrode work functions and substrate thicknesses on them are analyzed. This predicted electrostatic doping concentration agrees well with the Sentaurus TCAD simulation results of the CP-TFET.
本文通过求解包含移动电荷项的泊松方程,建立了电荷等离子体基TFET (CP-TFET)中静电掺杂效应的解析模型。研究了cp - tfet中垂直电位和静电掺杂浓度的封闭形式。同时分析了电极功函数和衬底厚度对其的影响。预测的静电掺杂浓度与CP-TFET的Sentaurus TCAD模拟结果吻合较好。
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引用次数: 0
A Current Domain Computing-in-Memory SRAM Macro with Hybrid IAF-SAR ADC for Signal Margin Enhancement 基于混合IAF-SAR ADC的当前域内存计算SRAM宏增强信号裕度
Tianqi Xu, Shumeng Li, Fukun Su, Xian Tang
This paper presents a computing-in-memory (CIM) SRAM macro utilizing current domain computing for multiply-and-accumulate (MAC) operations. A 32x64 8T bitcell array is used to store the weight data. This design adopts the modulated word line pulse-width method to convert 4-bit digital input data to analog domain. The MAC operation of weight and input data is accomplished through bitwise multiplication and the result is transformed to current which accumulates on the reading bit line (RBL). In order to improve the signal margin without sacrificing the readout precision, a hybrid integrate-and-fire (IAF)-SAR ADC is proposed to convert the computing result into digital domain. The presented design is implemented in a standard 65nm CMOS process and simulation results indicate the proposed 32x64 CIM macro achieves energy efficiency of 18.76 TOPS/W and peak throughput of 10.24 GOPS with 4-bit inputs and 4-bit weights.
本文提出了一种利用当前域计算进行乘法累加(MAC)运算的内存计算(CIM) SRAM宏。使用32x648t位元数组存储权重数据。本设计采用调制字线脉宽法将4位数字输入数据转换为模拟域。权值和输入数据的MAC运算是通过逐位乘法完成的,其结果转化为电流,并在读位线(RBL)上积累。为了在不牺牲读出精度的前提下提高信号裕度,提出了一种集成与发射(IAF)-SAR混合ADC,将计算结果转换为数字域。仿真结果表明,在4位输入和4位权值的情况下,所提出的32x64 CIM宏的能量效率为18.76 TOPS/W,峰值吞吐量为10.24 GOPS。
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引用次数: 2
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2022 IEEE International Conference on Integrated Circuits, Technologies and Applications (ICTA)
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