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2021 6th International Conference on Integrated Circuits and Microsystems (ICICM)最新文献

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Design and UVM Verification of an RTC Subsystem with Temperature Compensation 带温度补偿的RTC子系统设计与UVM验证
Pub Date : 2021-10-22 DOI: 10.1109/ICICM54364.2021.9660348
Yuxin Liu, N. Tan, Xiaohui Xiao, Junhu Xia, Wanrong Hu, Yan Ding
The real-time clock (RTC) integrated circuit is a special-purpose accurate clock generating circuit that is used in many microcontroller units (MCUs). In this paper, we design an ultra-low power and high-precision RTC subsystem used in general purpose MCUs. A temperature compensation scheme is designed to improve the accuracy of the RTC. The RTC uses a 1Hz clock for generating the accurate time and a 32768-Hz clock for the temperature compensation, which can reduce power consumption while maintaining high accuracy. To get the temperature from the analog-to-digital (ADC), we design an ADC controller. A power management unit (PMU) is designed to control the MCU to enter or exit the ultra-low power mode. We also build a subsystem-level verification environment for the RTC using the universal verification methodology (UVM) platform. The results show that the functions of the RTC under various conditions are correct and coverage reaches 98% in the regression test, the frequency error within the industrial temperature range is ± 1 ppm after calibration, and the accuracy meets the requirement of most MCUs.
实时时钟(RTC)集成电路是一种专用的精确时钟产生电路,用于许多微控制器(mcu)中。本文设计了一种用于通用单片机的超低功耗高精度RTC子系统。为了提高RTC的精度,设计了一种温度补偿方案。RTC采用1Hz时钟产生精确时间,32768 hz时钟进行温度补偿,在保持高精度的同时降低功耗。为了从模数转换器(ADC)中获取温度,我们设计了一个ADC控制器。电源管理单元(PMU)用于控制MCU进入或退出超低功耗模式。我们还使用通用验证方法(UVM)平台为RTC构建了子系统级验证环境。结果表明,RTC在各种条件下的功能都是正确的,在回归测试中覆盖率达到98%,校准后工业温度范围内的频率误差为±1 ppm,精度满足大多数mcu的要求。
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引用次数: 0
Yolov3-tiny Object Detection SoC Based on FPGA Platform 基于FPGA平台的yolov3微型目标检测SoC
Pub Date : 2021-10-22 DOI: 10.1109/ICICM54364.2021.9660358
Hongbo Zhang, Jiaqi Jiang, Yunhao Fu, Yuchun Chang
Object detection is a popular direction in computer vision and digital image processing and convolutional neural network have been widely used in this field. In the forward reasoning stage, many practical applications based on embedded platforms have stringent requirements for low latency and low power consumption. FPGA are undoubtedly the optimal solution to deal with such problems. Yolo [1] is one of the high-quality frameworks for object detection. Among them, Yolov3-tiny is a lightweight network that balances accuracy and network complexity. It is also the most popular object detection network in the industry. This article introduces the complete process of mapping the network structure to the FPGA based on the Yolov3tiny algorithm and optimizes the accelerator architecture for Zedboard to make it under limited resources to achieve the best performance. The experimental results show that the detection speed of 325.036ms/img and the performance of 24.32GOPS is obtained on Zedboard and the mAP of COCO is 32.6%. Compared with Xeon E5-2673 v4 CPU, the energy efficiency is 241times and the performance is 8 times; compared with single-core ARM-A9 CPU, its energy efficiency is 180.75 times and its performance is 402.12 times.
目标检测是计算机视觉和数字图像处理领域的一个热门方向,卷积神经网络在该领域得到了广泛的应用。在前向推理阶段,许多基于嵌入式平台的实际应用对低时延、低功耗有着严格的要求。FPGA无疑是处理这类问题的最佳解决方案。Yolo[1]是高质量的目标检测框架之一。其中,Yolov3-tiny是一种轻量级网络,可以平衡准确性和网络复杂性。它也是业界最流行的目标检测网络。本文介绍了基于Yolov3tiny算法将网络结构映射到FPGA的完整过程,并对Zedboard的加速器架构进行了优化,使其在有限的资源下达到最佳性能。实验结果表明,在Zedboard上获得了325.036ms/img的检测速度和24.32GOPS的性能,COCO的mAP为32.6%。与至强E5-2673 v4 CPU相比,能效提升241倍,性能提升8倍;与单核ARM-A9 CPU相比,其能效是单核ARM-A9的180.75倍,性能是单核ARM-A9的402.12倍。
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引用次数: 2
A Wide Input Voltage Range, Low Quiescent Current LDO Using Combination Structure of Bandgap and Error Amplifier 采用带隙和误差放大器组合结构的宽输入电压范围、低静态电流LDO
Pub Date : 2021-10-22 DOI: 10.1109/ICICM54364.2021.9660242
Yidong Cao, Zhiping Wen
This paper presents a wide input voltage range, low quiescent current low-dropout voltage (LDO) regulator. Featuring the NPN transistors in the BGR circuit operate as the differential input pair of operational trans conductance amplifier (OTA). Current mirror with $beta$ helper structure and class AB output stage of OTA are introduced to improve the accuracy of entire circuit. The proposed LDO is simulated based on 400 nm BCD process. The simulation results shows that the proposed LDO regulator achieved 3.2$mu$A quiescent current with the fixed output voltage 3. 3V. The BGR output voltage has a 186ppm$/^{circ}$C temperature coefficient (TC) when temperature varies from - 55°C to 125°C. The proposed LDO has a line regulation of 11mV when input voltage varies from 4.3V to 24V and a load regulation of 12.8mV with load current range from 5$mu$A to 50mA. The STB(stability) analysis result shows that the circuit provides a gain over 55dB with a gain-bandwidth (GBW) above 5kHz, and a phase margin (PM) over 45 degree with a load capacitor equal to 1$mu$F for different load conditions.
本文提出了一种宽输入电压范围、低静态电流、低降电压(LDO)稳压器。利用BGR电路中的NPN晶体管作为运算跨导放大器(OTA)的差分输入对。通过引入$beta$辅助结构的电流镜和OTA的AB类输出级,提高了整个电路的精度。基于400 nm BCD工艺对LDO进行了仿真。仿真结果表明,该稳压器在输出电压为3的情况下,实现了3.2 $mu$ A的静态电流。3v .;温度范围为- 55℃~ 125℃时,BGR输出电压的温度系数为186ppm $/^{circ}$ C。当输入电压从4.3V到24V变化时,LDO的线路稳压为11mV,负载稳压为12.8mV,负载电流范围为5 $mu$ a到50mA。STB(稳定性)分析结果表明,该电路在不同负载条件下的增益大于55dB,增益带宽(GBW)大于5kHz,相裕度(PM)大于45度,负载电容等于1 $mu$ F。
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引用次数: 2
[ICICM 2021 Front cover] [ICICM 2021封面]
Pub Date : 2021-10-22 DOI: 10.1109/icicm54364.2021.9660296
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引用次数: 0
A Reinforcement Learning-based Online-training AI Controller for DC-DC Switching Converters 基于强化学习的DC-DC开关变换器在线训练AI控制器
Pub Date : 2021-10-22 DOI: 10.1109/ICICM54364.2021.9660319
Xue Shi, Nan Chen, Ting-Yu Wei, Jiayu Wu, Peilei Xiao
A controller for DC-DC switching converters based on solely AI algorithm is proposed with a simpler structure than the traditional neural network-PID controllers. Reinforcement learning is used to train the AI controller online using deep deterministic policy gradient (DDPG) algorithm. The AI controller with an actor-critical architecture realizes model-free control with strong self-adaptive ability for different control objects, which can be used for different types of DC-DC switching converters. The performance of a buck DC-DC switching converter with the AI controller is compared with a neural network-PID controller through simulation. The simulation results show that the settling time is improved by at least 65% and overshoot/undershoot is decreased by at least 43%.
提出了一种结构比传统神经网络pid控制器更简单的基于人工智能算法的DC-DC开关变换器控制器。采用深度确定性策略梯度(deep deterministic policy gradient, DDPG)算法对人工智能控制器进行强化学习在线训练。该AI控制器采用关键角色架构,实现了对不同控制对象的无模型控制,具有较强的自适应能力,可用于不同类型的DC-DC开关变换器。通过仿真比较了采用人工智能控制器的降压型DC-DC开关变换器与神经网络- pid控制器的性能。仿真结果表明,沉降时间提高了65%以上,超调/欠调降低了43%以上。
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引用次数: 2
Influence of Silicon Via Morphology on RF Performance of TSV 硅孔形貌对TSV射频性能的影响
Pub Date : 2021-10-22 DOI: 10.1109/ICICM54364.2021.9660357
You Yuejuan, Liu Dexi, Liu Yawei, Shi Lei
In order to study the influence of Silicon Through Via (TSV) morphology on RF performance, HFSS is used to model and simulate a single truncated cone shaped TSV. By using control single variable method, firstly, we change the radius difference $Delta r$ between the TSV upper and lower ends to change TSV sidewall inclination angle $theta$, and TSV shape; Then, fix $theta$ and change TSV upper end radius, two insulation layers and substrate thickness h and then analyze RF performance changes. The simulation results show that the closer $theta$ is to 90, the better the RF performance is; increasing h and TSV radius or appropriately reducing TSV sidewall insulation layer thickness can improve the electrical performance; moreover, increasing the insulation layer thickness on silicon surface alone or increasing the thickness of the two insulation layers which are integrally formed can also improve the RF performance, the impedance matching should be considered.
为了研究硅通孔(TSV)形貌对射频性能的影响,利用HFSS对单个截锥形TSV进行了建模和仿真。采用控制单变量法,首先通过改变TSV上下端半径差$Delta r$来改变TSV侧壁倾角$theta$和TSV形状;然后,固定$theta$,改变TSV上端半径、两层绝缘层和衬底厚度h,分析射频性能的变化。仿真结果表明,$theta$越接近90,射频性能越好;增大h和TSV半径或适当减小TSV侧壁绝缘层厚度可改善电性能;此外,增加单独在硅表面的绝缘层厚度或增加整体形成的两个绝缘层的厚度也可以提高射频性能,需要考虑阻抗匹配。
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引用次数: 0
Measurement Setup for Physical Unclonable Functions 物理不可克隆功能的测量装置
Pub Date : 2021-10-22 DOI: 10.1109/ICICM54364.2021.9660305
J. Biba, S. Boche, Nezar-Hekmat Sadek, W. Hansch
The use of physical unclonable functions (PUFs) to generate fingerprints for authentication of chips or larger electronic systems or for generation of internal cryptographic keys for data transfer is investigated. With the implementation of PUFs, each chip or electronic system has its own identity, which should prevent counterfeiting and “night shift” problems. There are various approaches to creating PUFs, and one of them is the so-called coating PUF, which would open the way to cost-effective and flexible protection during and after chip fabrication. In this work, we present two different capacitance measurement methods for fabricated PUF structures consisting of individual metal-oxide-semiconductor (MOS) capacitors. The goal is to obtain an easy and highly accurate measurement setup. Our fabricated PUF chips show an intended variation in capacitance and therefore generate characteristic fingerprints. We show that the parasitic capacitances and measurement variation are much smaller than the intended fluctuation of our PUF capacitances. This enables us to generate reliable and less error-prone fingerprints. Our presented measurement methods in combination with the technological PUF structures have shown to be accurate and reliable for flexible commercial application.
使用物理不可克隆功能(puf)来生成指纹,用于芯片或更大的电子系统的身份验证或用于生成内部加密密钥进行数据传输的研究。随着puf的实施,每个芯片或电子系统都有自己的身份,这应该可以防止假冒和“夜班”问题。制造PUF的方法有很多种,其中一种是所谓的涂层PUF,它将在芯片制造期间和之后为经济有效和灵活的保护开辟道路。在这项工作中,我们提出了两种不同的电容测量方法,用于由单个金属氧化物半导体(MOS)电容器组成的预制PUF结构。目标是获得一个简单和高度精确的测量设置。我们制造的PUF芯片显示出电容的预期变化,因此产生特征指纹。我们发现寄生电容和测量变化比我们的PUF电容的预期波动要小得多。这使我们能够生成可靠且不易出错的指纹。我们提出的测量方法与技术PUF结构相结合,对于灵活的商业应用来说是准确可靠的。
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引用次数: 0
A 80.88-87.53GHz Millimeter Wave Wide Tuning Range Digitally Controlled Oscillator in 40nm CMOS 80.88-87.53GHz毫米波宽调谐范围的40nm CMOS数字控制振荡器
Pub Date : 2021-10-22 DOI: 10.1109/ICICM54364.2021.9660303
Yilu Chen, Lu Tang, Sicong Xia
This article presents a millimeter wave high-resolution digitally controlled oscillator (DCO) in 40nm CMOS technology. The proposed oscillator achieves a frequency tuning accuracy of 2.6MHz by using switched capacitor array and on-chip transformer coupling technology. The tuning range is extended to $80.88 sim 87.53mathrm{GHz}$ by digital control artificial dielectric (DiCAD) technology. The phase noise of 80.88GHz at the frequency offset of lMHz and lOMHz is -93.23dBc/Hz and - 114.05dBc/Hz, and the core circuit layout area is $0.23times 0.13 mathrm{mm}2$. In addition, the peak-to-peak output amplitude of DCO is greater than 1V, which meets the crossover requirements of the post-stage injection-locked frequency divider.
本文提出了一种采用40nm CMOS技术的毫米波高分辨率数字控制振荡器(DCO)。该振荡器采用开关电容阵列和片上变压器耦合技术实现了2.6MHz的频率调谐精度。通过数字控制人工介电(DiCAD)技术将调谐范围扩展到$80.88 sim 87.53 mathm {GHz}$。在lMHz和lOMHz频率偏移处,80.88GHz的相位噪声分别为-93.23 dbc /Hz和- 114.05dBc/Hz,核心电路布局面积为$0.23 × 0.13 mathm {mm}2$。另外,DCO的峰峰输出幅值大于1V,满足后级注入锁定分频器的交叉要求。
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引用次数: 0
A Data Eye Width Improved and ODT PVT Tolerance Enhanced DDR4 SDRAM Using Fast Clock Gating and tADC Self-align 基于快速时钟门控和tdac自对准的DDR4 SDRAM数据眼宽改善和ODT PVT容差增强
Pub Date : 2021-10-22 DOI: 10.1109/ICICM54364.2021.9660276
Hongguang Zhang, Zhiqiang Zhang, Yuanyuan Gong, Yanan Zhang, Jake Jung, Brian Lee, Edwin Kim, Kanyu Cao
An 8Gb3200Mbps DDR4 SDRAM with fast clock gating and ODT path self-align technique is presented. Fast clock gating is utilized in the DDR4 SDRAM to pursue cut down DLL, read, write and ODT Paths stage, thus data jitters and current consumption can be reduced. ODT path delay self-align method is proposed to the DDR4 SDRAM which is implemented in DRAM process. Measurement results show fast clock gating can reduce 12 stages in DLL, read, write and ODT path and reduce 600uA current, and 5.4% jitters in Read and ODT path. What’s more, the measurement results also show the tADC variation is reduced from 220ps to 30ps with delay self-align technique.
提出了一种具有快速时钟门控和ODT路径自对准技术的8Gb3200Mbps DDR4 SDRAM。在DDR4 SDRAM中使用快速时钟门控来追求减少DLL,读,写和ODT路径阶段,从而可以减少数据抖动和电流消耗。针对DDR4 SDRAM,提出了ODT路径延迟自对准方法,并在DRAM过程中实现。测试结果表明,快速时钟门控可以减少DLL、读、写和ODT通路的12级,减少600uA电流,减少5.4%的读和ODT通路抖动。此外,测量结果还表明,采用延迟自对准技术后,ttac变化从220ps降低到30ps。
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引用次数: 0
Analysis of Abnormal Defects of High Resistance of 1000 kV UHV Transmission Line 1000kv特高压输电线路高阻异常缺陷分析
Pub Date : 2021-10-22 DOI: 10.1109/ICICM54364.2021.9660218
Yue Bing, Zhou Luyao, Yang Zhi, Zhao Lin, Lin Haofan, Yang Yong
The oil chromatographic data of the high-voltage reactor in an UHV substation was abnormal, and subsequent live detection measures were taken for this defect, including high-frequency partial discharge test, UHF partial discharge test, ultrasonic partial discharge test, and vibration monitoring. This paper comprehensively analyzed the test data, judges that there was discharge inside, and basically judged the discharge position in the Y-pillar area of the high-voltage reactor, and put forward suggestions and opinions for subsequent disposal measures and operation and maintenance measures.
某特高压变电所高压电抗器油色谱数据异常,对该缺陷采取了后续带电检测措施,包括高频局部放电试验、超高频局部放电试验、超声局部放电试验、振动监测等。本文对试验数据进行综合分析,判断内部有放电,并对高压反应器y柱区域放电位置进行基本判断,并对后续处置措施和运行维护措施提出建议和意见。
{"title":"Analysis of Abnormal Defects of High Resistance of 1000 kV UHV Transmission Line","authors":"Yue Bing, Zhou Luyao, Yang Zhi, Zhao Lin, Lin Haofan, Yang Yong","doi":"10.1109/ICICM54364.2021.9660218","DOIUrl":"https://doi.org/10.1109/ICICM54364.2021.9660218","url":null,"abstract":"The oil chromatographic data of the high-voltage reactor in an UHV substation was abnormal, and subsequent live detection measures were taken for this defect, including high-frequency partial discharge test, UHF partial discharge test, ultrasonic partial discharge test, and vibration monitoring. This paper comprehensively analyzed the test data, judges that there was discharge inside, and basically judged the discharge position in the Y-pillar area of the high-voltage reactor, and put forward suggestions and opinions for subsequent disposal measures and operation and maintenance measures.","PeriodicalId":6693,"journal":{"name":"2021 6th International Conference on Integrated Circuits and Microsystems (ICICM)","volume":"36 1","pages":"362-365"},"PeriodicalIF":0.0,"publicationDate":"2021-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78609071","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
期刊
2021 6th International Conference on Integrated Circuits and Microsystems (ICICM)
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