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2020 18th IEEE International New Circuits and Systems Conference (NEWCAS)最新文献

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A CMOS MAGFET-Based Programmable Isolation Amplifier 一种基于CMOS磁体效应晶体管的可编程隔离放大器
Pub Date : 2020-06-01 DOI: 10.1109/NEWCAS49341.2020.9159790
Seyed Sepehr Mirfakhraei, Y. Audet, Ahmad Hassan, Mohamed Ali, Morteza Nabavi, M. Sawan
In this paper, we present a high common mode voltage amplifier with a novel isolation technique. In this proposed structure, a minimum of 430 V isolation is satisfied from on-chip intermetal SiO2 layers. On the high-voltage side, an adjustable gain amplifier that supports ±2.5 V of differential voltage drives the coil. However, on the low-voltage side, a CMOS integrated magnetic field sensitive MOSFET (MAGFET) placed under the coil converts the generated magnetic field into a current imbalance which will be transformed to a differential voltage via a cascode stage. In addition, based on the ADC input dynamic range, the signal amplitude is adjusted by using a 6-bit dB-linear programmable gain amplifier (PGA) with a gain range of 0 to 54 dB and a maximum gain-nonlinearity error of 0.2 dB. This PGA has a temperature independent characteristic with a maximum gain error of 0.21 dB over a temperature variation between −40 to 80 °C. The design achieves a low input offset of 0.18 mV. It has also a low current consumption of 1.2 and 2.3 mA for the high voltage and the low voltage side, respectively.
本文提出了一种采用新型隔离技术的高共模电压放大器。在这种结构中,片上金属间SiO2层的隔离度至少达到430 V。在高压侧,支持±2.5 V差分电压的可调增益放大器驱动线圈。然而,在低压端,放置在线圈下的CMOS集成磁场敏感MOSFET (MAGFET)将产生的磁场转换为电流不平衡,该电流将通过级联级转换为差分电压。此外,基于ADC输入动态范围,采用6位dB线性可编程增益放大器(PGA)调节信号幅度,增益范围为0 ~ 54 dB,最大增益非线性误差为0.2 dB。该PGA具有温度无关特性,在- 40至80°C的温度变化范围内,最大增益误差为0.21 dB。该设计实现了0.18 mV的低输入偏置。高压侧和低压侧的电流消耗也很低,分别为1.2 mA和2.3 mA。
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引用次数: 2
A New Method to Improve the Quality of Embolic Ultrasound Signal Detection 一种提高栓塞超声信号检测质量的新方法
Pub Date : 2020-06-01 DOI: 10.1109/NEWCAS49341.2020.9159780
Amirhossein Moshrefi, F. Nabki
Emboli detection and denoising have been the focus of attention from many years. Emboli can be occurred because of the air bubbles, concentrated fat particles or blood clotted in a vessel. The detection of this issue can be possible by employing Doppler ultrasonic transducers. However, this method would be very sensitive to peripheral noise. In this paper for emboli denoising, CEEMDAN as one of the newest and effective methods is introduced. Then, an algorithm for emboli detection based on Bayesian estimation is proposed. The results are compared with a recent method, showing that the proposed method yields an SNR that this improved by 45% and an accuracy rate of 94%.
栓子的检测和去噪一直是近年来人们关注的焦点。栓子可能是由于气泡、浓缩的脂肪颗粒或血管中的血液凝结而发生的。使用多普勒超声换能器可以检测到这个问题。但是,这种方法对周围噪声非常敏感。本文介绍了一种最新有效的栓塞去噪方法——CEEMDAN。然后,提出了一种基于贝叶斯估计的栓子检测算法。结果与最近的方法进行了比较,表明该方法的信噪比提高了45%,准确率提高了94%。
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引用次数: 2
Self-Contained Power Amplifier for 5G 5G独立式功率放大器
Pub Date : 2020-06-01 DOI: 10.1109/NEWCAS49341.2020.9159774
J. Forest, V. Knopik, E. Kerhervé
The paper is related to 5G power amplifier architecture which is robust to the environment variations. One of the main PA challenges is to control the phase of the PA while maintaining its RF performances according to the manufacturing process variations (PVT). Another challenge is to achieve high efficiency, while providing very good linearity. In such conditions, the PA phase control is a major advantage. This work first quantifies the impact of the phased-array antenna impedance variations on the power amplifier RF performances (gain, phase shift). Then, 130nm SiGe BiCMOS9 and 65nm CMOS-SOI measurements of 5G self-contained PAs demonstrate the robustness against VSWR antenna variations and address the phase control issue.
本文研究了5G功率放大器结构对环境变化的鲁棒性。放大器的主要挑战之一是根据制造工艺变化(PVT)控制放大器的相位,同时保持其射频性能。另一个挑战是实现高效率,同时提供非常好的线性。在这种情况下,PA相位控制是一个主要优势。这项工作首先量化了相控阵天线阻抗变化对功率放大器射频性能(增益、相移)的影响。然后,对5G自包含PAs的130纳米SiGe BiCMOS9和65纳米CMOS-SOI进行测量,证明了对VSWR天线变化的鲁棒性,并解决了相位控制问题。
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引用次数: 2
Motion Artifact Mitigation Using Negative Feedback in Capacitively-Coupled ECG 利用负反馈缓解电容耦合心电中的运动伪影
Pub Date : 2020-06-01 DOI: 10.1109/newcas49341.2020.9159832
V. Sirtoli, G. Gagnon, G. Cowan
The standard electrocardiogram (ECG) depends on wet electrodes which contain a conductive gel that may cause irritation and dry out during long term measurements leading to artifacts. Capacitively-Coupled ECG (ccECG) promises to allow physicians to perform ECG through clothing or unprepared skin, without conductive gel. However, as the patient moves, air gaps are created between electrodes and the skin. Thus, the total interface capacitance varies during ccECG measurements giving rise to motion artifacts (MA). To mitigate this issue, a circuit implementing negative feedback through the human body is proposed. The system relies on the principle that the coupling capacitance and input capacitance forms a gain stage which changes as motion happens. By adding the feedback stage, this gain is stabilized. When the coupling capacitance is swept from 100 nF to 1 pF in Spice simulation, within a frequency range of 500 mHz to 100 Hz, the system gain fluctuations are reduced from 12 dB (open-loop) down to 2 dB using the proposed technique. The proposed system can maintain the same bandwidth, similar settling time and does not present instability for the desired gain and frequency range.
标准心电图(ECG)依赖于含有导电凝胶的湿电极,在长期测量期间可能引起刺激和干燥,导致伪影。电容耦合心电图(ccECG)有望允许医生通过衣服或未经准备的皮肤进行心电图,而不需要导电凝胶。然而,当病人移动时,电极和皮肤之间会产生气隙。因此,在ccECG测量期间,总界面电容会发生变化,从而产生运动伪影(MA)。为了缓解这一问题,提出了一种通过人体实现负反馈的电路。该系统依靠耦合电容和输入电容形成增益级的原理,该增益级随着运动的发生而变化。通过增加反馈级,这个增益是稳定的。在Spice仿真中,当耦合电容从100 nF扫频到1 pF时,在500 mHz到100 Hz的频率范围内,使用所提出的技术,系统增益波动从12 dB(开环)降低到2 dB。所提出的系统可以保持相同的带宽,相似的稳定时间,并且在期望的增益和频率范围内不存在不稳定性。
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引用次数: 2
Design Methodology and Timing Considerations for implementing a TDC on a Cyclone V FPGA Target 在Cyclone V FPGA目标上实现TDC的设计方法和时序考虑
Pub Date : 2020-06-01 DOI: 10.1109/newcas49341.2020.9159812
W. Khaddour, F. Dadouche, W. Uhring, V. Frick, M. Madec
There are hundreds of research publications that theoretically discuss the implementation of Tapped Delay Line based Time to Digital Converters (TDL TDCs) on Field-Programmable Gate Array (FPGA) targets. However, most of these works do not cover the timing issues that will be encountered mostly due to the routing delays. The purpose of this work is to highlight the main timing issues that should be considered when implementing TDCs in FPGA targets and propose practical approaches to overcome these issues. As a study case, a full design methodology of a TDC on a Cyclone V FPGA target is presented in this work.
已有数百篇研究论文从理论上讨论了在现场可编程门阵列(FPGA)目标上实现基于抽头延迟线的时间数字转换器(TDL tdc)。然而,这些工作大多没有涵盖由于路由延迟而遇到的时间问题。这项工作的目的是强调在FPGA目标中实现tdc时应考虑的主要时序问题,并提出克服这些问题的实用方法。作为一个研究案例,在本工作中提出了Cyclone V FPGA目标上TDC的完整设计方法。
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引用次数: 1
Linear Power Amplifiers for Sub-6GHz Mobile Applications : Progress and Trends Sub-6GHz移动应用的线性功率放大器:进展和趋势
Pub Date : 2020-06-01 DOI: 10.1109/newcas49341.2020.9159835
A. Giry, A. Serhan, D. Parat, P. Reynier
5G are stimulating major research efforts on next-generation power amplifiers (PAs). This paper presents a comprehensive overview of recent linear watt-level PA developments for mobile applications operating below 6GHz. A survey on state-of-the-art PAs is presented focusing on recently published envelope tracking and Doherty architectures.
5G正在推动下一代功率放大器(pa)的重大研究。本文全面概述了最近用于6GHz以下移动应用的线性瓦级PA发展。对最新的pa进行了调查,重点介绍了最近发表的信封跟踪和Doherty架构。
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引用次数: 3
Using Optimized Butterworth-Based $SigmaDelta$ Bitstreams for the Testing of High-Resolution Data Converters 使用优化的Butterworth-Based $SigmaDelta$位流测试高分辨率数据转换器
Pub Date : 2020-06-01 DOI: 10.1109/newcas49341.2020.9159837
A. S. Emara, G. Roberts, S. Aouini, M. Parvizi, Naim Ben-Hamida
Testing high-resolution data converters is often performed using Automatic Test Equipment (ATE) that has lower resolution Integrated Chips (ICs). Hence, indirect voltage measurements are required. To perform these measurements programmable DC voltage sources are essential. An area efficient technique in generating DC voltage sources is the one that saves a ΣΔ bitstream generated in software in the memory of an ATE and apply it periodically to a low-pass filter (LPF). The Noise Transfer Function (NTF) of the ΣΔM has been selected from the Butterworth, Butterworth with zeros, Bessel and Gaussian families for ΣΔM orders from 1 to 4. An investigation was conducted to figure out the best ΣΔM type and order that should be used. It will be shown that using a high-order Butterworth-based ΣΔ bitstream yields the lowest settling time. This means the DC voltage levels will be available for usage quicker than the other ΣΔM types. Hence, reducing the time taken to test an IC, which in-turn minimizes the time to market and maximizes profit margins.
测试高分辨率数据转换器通常使用具有较低分辨率集成芯片(ic)的自动测试设备(ATE)执行。因此,需要间接电压测量。要执行这些测量,可编程直流电压源是必不可少的。产生直流电压源的一种面积高效技术是将软件生成的ΣΔ比特流保存在ATE的存储器中,并定期将其应用于低通滤波器(LPF)。ΣΔM的噪声传递函数(NTF)已从巴特沃斯族、巴特沃斯带零族、贝塞尔族和高斯族中选择ΣΔM阶数从1到4。为了找出最佳的ΣΔM类型和使用顺序,进行了调查。它将显示,使用高阶巴特沃斯为基础的ΣΔ比特流产生最低的沉淀时间。这意味着直流电压水平将比其他ΣΔM类型更快地用于使用。因此,减少测试集成电路所需的时间,从而最大限度地缩短上市时间并最大化利润空间。
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引用次数: 0
Deep Neural Network based Complex Spectrogram Reconstruction for Speech Bandwidth Expansion 基于深度神经网络的语音带宽扩展复谱图重构
Pub Date : 2020-06-01 DOI: 10.1109/newcas49341.2020.9159810
Hongjiang Yu, Weiping Zhu
In this paper, we present a deep neural network (DNN) based complex spectrogram reconstruction algorithm for speech bandwidth expansion, where the DNN is applied for estimating the real and imaginary parts of spectrograms of the wideband speech from those of the narrowband speech. Unlike the previous DNN based method, which only estimates the magnitude and employs the simple mirror version phase for reconstruction, we employ the complex spectrogram to recover the magnitude and phase of the high-frequency component simultaneously. Experimental results demonstrate that our proposed method outperforms the non-negative matrix factorization (NMF) and the state-of-the-art DNN based speech bandwidth expansion methods in terms of objective performance metrics.
本文提出了一种基于深度神经网络(DNN)的语音带宽扩展复频谱图重建算法,该算法用于从窄带语音频谱图中估计宽带语音频谱图的实部和虚部。与以往基于深度神经网络的方法仅估计振幅并使用简单镜像相位进行重建不同,我们采用复谱图同时恢复高频分量的振幅和相位。实验结果表明,我们提出的方法在客观性能指标方面优于非负矩阵分解(NMF)和最先进的基于深度神经网络的语音带宽扩展方法。
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引用次数: 0
An Adaptive Spatial Blocker Cancellation Receiver for Multiple Antenna Systems 一种用于多天线系统的自适应空间干扰抵消接收机
Pub Date : 2020-06-01 DOI: 10.1109/NEWCAS49341.2020.9159826
Rudraneil Saha, A. C. Carusone
Whereas previous architectures for spatial blocker cancellation were hindered by their scalability with the number of antennas leading to a high increase in the area and power consumption with the increase in the number of antennas, we propose a blocker cancellation technique that overcomes this by having linear complexity with the number of antennas, making it suitable for receivers with a large number of antennas. The proposed cancellation technique attenuates the blocker signals prior to the ADC relaxing its dynamic range requirement, while preserving the field-of-view (FoV) in each antenna element for subsequent digital beamforming/array signal processing.
鉴于先前的空间阻挡器对消架构受到其随天线数量增加的可扩展性的阻碍,导致面积和功耗随着天线数量的增加而大幅增加,我们提出了一种阻挡器对消技术,该技术通过具有天线数量的线性复杂性来克服这一问题,使其适用于具有大量天线的接收器。所提出的对消技术在ADC放松其动态范围要求之前减弱了阻塞信号,同时保留了每个天线单元的视场(FoV),以便后续的数字波束形成/阵列信号处理。
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引用次数: 0
FPGA-based Prediction System for Neurotransmitter Concentration Measurement from Spectrophotometry Data 基于fpga的分光光度法神经递质浓度预测系统
Pub Date : 2020-06-01 DOI: 10.1109/newcas49341.2020.9159823
Simon Bellemare-Rousseau, Gabriel P. Lachance, Shimwe Dominique Niyonambaza, Élodie Boisselier, M. Boukadoum, A. Miled
Neurotransmitter sensing is essential in biomedical research to understand brain behavior, with Optical sensing useful for passive measurements. For instance, visible-light spectrophotometry can be used to detect and measure neurotransmitter concentrations in liquid. An important part of the process is the prediction of molecule concentration from the measured data. This work describes an FPGA-based system to measure neurotransmitter concentration in a multi-sensor platform, using a visible-light optical spectrometer and a simple regression predictor. The design required very few hardware resources and it was tested on dopamine data with excellent results.
神经递质传感在生物医学研究中理解大脑行为是必不可少的,光学传感用于被动测量。例如,可见光分光光度法可用于检测和测量液体中的神经递质浓度。该过程的一个重要部分是根据测量数据预测分子浓度。这项工作描述了一个基于fpga的系统,用于测量多传感器平台上的神经递质浓度,使用可见光分光计和简单的回归预测器。该设计只需要很少的硬件资源,并且在多巴胺数据上进行了测试,结果非常好。
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引用次数: 2
期刊
2020 18th IEEE International New Circuits and Systems Conference (NEWCAS)
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