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2022 IEEE Asia Pacific Conference on Circuits and Systems (APCCAS)最新文献

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A High Throughput and Configurable Pseudo-random Number Extension Generator for Lattice-based Post-quantum Cryptography 基于格的后量子密码的高吞吐量可配置伪随机数扩展发生器
Pub Date : 2022-11-11 DOI: 10.1109/APCCAS55924.2022.10090267
Xiang Li, Dongsheng Liu, Ang Hu, Aobo Li, Shuo Yang, Jiahao Lu, Jianming Lei
Pseudo-random number extension and hashing limit the time for encryption and decryption in multiple lattice-based post-quantum cryptography (PQC). Keccak is a crucial part in pseudo-random number extension and hashing, being the most restrictive module. With the requirement of high-performance, it is important to implement a configurable Keccak core with flexibility and high throughput. In this paper, a novel structure of high throughput pseudo-random number extension generator is proposed. The method utilizes two-stage series round function circuits to reduce cycles in half. And benefiting from combining the p, π, σ, and I steps into a single step in the Keccak, the logic resource overhead is reduced. It can be configured to support multiple sampling strategies including central binomial distribution and rejection. This work is implemented on ZYNQ UltraScale+ FPGA platform with the highest throughput of 11.7Gbps. Compared to related works, the high-throughput and configurability make the proposed pseudo-random number extension generator suitable for various lattice-based cryptographic schemes.
伪随机数扩展和散列限制了基于多格的后量子加密(PQC)的加解密时间。Keccak是伪随机数扩展和哈希的关键部分,是最具限制性的模块。随着高性能的要求,实现一个灵活、高吞吐量的可配置Keccak核心变得非常重要。本文提出了一种新的高吞吐量伪随机数扩展发生器结构。该方法利用两级串联圆功能电路将周期减少一半。得益于将p, π, σ和I步合并为Keccak中的单个步,逻辑资源开销减少了。它可以配置为支持多种采样策略,包括中心二项分布和拒绝。这项工作在ZYNQ UltraScale+ FPGA平台上实现,最高吞吐量为11.7Gbps。与相关工作相比,该伪随机数扩展生成器的高吞吐量和可配置性使其适用于各种基于格的密码方案。
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引用次数: 0
An Improved Multi-Objective Optimization Framework for Soft-Error Immune Circuits 一种改进的软误差免疫电路多目标优化框架
Pub Date : 2022-11-11 DOI: 10.1109/APCCAS55924.2022.10090258
Shaohang Chu, Yan Li, Xu Cheng, Xiaoyang Zeng
Soft error is one of the main circuit reliability issues. Mitigating soft error inevitably requires sacrificing area and power, therefore, it is necessary to balance area, power, and soft error. In this paper, some improvements have been made to the multi-objective optimization framework based on Back Propagation (BP) neural network and Non-dominated Sorting Genetic Algorithm-II (NSGA-II). A data set selection and dimensionality reduction scheme is proposed to ensure that the framework is suitable for circuit designs of different scales. The experimental results show that the average soft error rate (SER) of the five circuits is reduced by 47.6%, the area is increased by 12.1%, and the power is increased by 31.5%.
软误差是电路可靠性的主要问题之一。减少软误差不可避免地需要牺牲面积和功率,因此有必要平衡面积、功率和软误差。本文对基于BP神经网络和非支配排序遗传算法(NSGA-II)的多目标优化框架进行了改进。提出了一种数据集选择和降维方案,以确保该框架适用于不同规模的电路设计。实验结果表明,五种电路的平均软错误率(SER)降低了47.6%,面积增加了12.1%,功率提高了31.5%。
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引用次数: 0
Design and Optimization of Inductive Coils for 2FSK-based Power and Data Transmission for Biomedical Implants 基于2fsk的生物医学植入物功率和数据传输电感线圈的设计与优化
Pub Date : 2022-11-11 DOI: 10.1109/APCCAS55924.2022.10090401
Wending Qi, Anning Liu, Ruolin Zhou, Songping Mai
The next-generation of neural prostheses such as optogenetic cochlear implants (CIs) can be implemented by a 2FSK-based wireless power and data transfer (WPDT) system over a signal inductive link. Optimizing the power efficiency of the link is imperative to minimize the heating dissipation in tissue and interference with other devices. And to mimic natural auditory perception with high fidelity, data rate is also important. Previous design methodologies for coils are not comprehensive and accurate enough to account for data transmission and operation at dual carrier frequencies. We outline the theoretical foundation of optimal power transmission and compromise it with data transmission. We use this foundation to propose an iterative dual frequencies coils (DFC) design procedure for 2FSK-based WPDT system. Moreover, we execute this procedure at 3.951 and 4.516 MHz achieving power transfer efficiency (PTE) and power deliver to the load (PDL) of 77.4% and 230.25mW respectively, and the data rate reaches 564 Kbps, at 12mm spacing. All results are verified with simulations using MATLAB and measurements using helical coils fabricated on printed circuit boards.
下一代神经假体如光遗传人工耳蜗(CIs)可以通过基于2fsk的无线电源和数据传输(WPDT)系统在信号感应链路上实现。优化链路的功率效率是必要的,以尽量减少组织中的散热和对其他设备的干扰。而要高保真地模仿自然听觉感知,数据速率也很重要。以前的线圈设计方法不够全面和准确,不足以考虑双载波频率下的数据传输和操作。我们概述了最优功率传输的理论基础,并将其与数据传输折衷。在此基础上,我们提出了基于2fsk的WPDT系统的迭代双频线圈(DFC)设计方法。此外,我们在3.951 MHz和4.516 MHz下执行该程序,分别实现了77.4%和230.25mW的功率传输效率(PTE)和功率传递到负载(PDL),数据速率达到564 Kbps,间距为12mm。所有结果都通过MATLAB仿真和印刷电路板上螺旋线圈的测量进行了验证。
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引用次数: 0
A 32dBm OOB-IIP3 BW-Extended 5G-NR Receiver with 4th-Order Gain-Boosted N-Path LNA 基于4阶增益增强n径LNA的32dBm OOB-IIP3 bw扩展5G-NR接收机
Pub Date : 2022-11-11 DOI: 10.1109/APCCAS55924.2022.10090370
Zhixiang Liu, Shiyou Wei, Gengzhen Qi, Pui-in Mak
This paper reports a self-interference-resilient receiver (RX) for 5G-NR-FDD covering 0.5 to 2GHz. It incorporates a $4^{text{th}}$-order gain-boosted N-path low-noise amplifier (LNA) and a $2^{text{nd}}$-order baseband (BB) TIA to widen the −3dB RF-BW and also enhance the out-of-band (OOB) roll-off slope. Furthermore, a positive-feedback loop is created for the input-impedance matching purpose thanks to the impedance-translation property of the N-path network. Implemented in 65nm CMOS process, the simulation results show that with >54MHz RF-BW the RX achieves >24dB OOB rejection at 80MHz offset. When the offset frequency $(Delta f)$ is twice the −3dB RF-BW, the RX achieves 32dBm OOB-IIP3, while consuming a reasonable power of 27 to 67mW. The noise figure (NF) ranges from 3.2 to 5.5dB and active area is $0.38text{mm}^{2}$.
本文报道了一种覆盖0.5 ~ 2GHz的5G-NR-FDD自抗干扰接收机(RX)。它包含一个$4^{text{th}}$阶增益增强n路低噪声放大器(LNA)和一个$2^{text{nd}}$阶基带(BB) TIA,以扩大- 3dB RF-BW并提高带外(OOB)滚降斜率。此外,由于n路径网络的阻抗转换特性,为输入阻抗匹配目的创建了一个正反馈回路。在65nm CMOS工艺中实现,仿真结果表明,在>54MHz的RF-BW下,RX在80MHz偏移时实现了>24dB的OOB抑制。当偏置频率$( δ f)$为- 3dB RF-BW的两倍时,RX达到32dBm OOB-IIP3,同时消耗27至67mW的合理功率。噪声系数(NF)为3.2 ~ 5.5dB,有效面积为$0.38text{mm}^{2}$。
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引用次数: 0
A High-Time-Resolution Time-to-Digital Converter Using Coupled Ring Oscillator with Phase Averaging 采用相位平均耦合环振荡器的高时间分辨率时数转换器
Pub Date : 2022-11-11 DOI: 10.1109/APCCAS55924.2022.10090266
Daiki Ogata, R. Kamiya, Yusuke Toyoshima, K. Ohhata
This paper proposes a high-time-resolution time to digital converter (TDC) using a coupled ring oscillator (CRO) with phase averaging. The CRO can generate short time interval multiphase clocks, and combining it with a counter enables a high-time-resolution TDC with a wide input range and relatively small circuitry. In addition, the application of phase averaging to the CRO reduces the timing error due to mismatch. A novel sampling technique is also proposed to eliminate the sampling error due to counter delay and glitches. Post-layout simulations were performed on a 10-bit TDC in 28-nm CMOS technology to evaluate the performance of the proposed TDC. The results showed that the high time resolution of 2.5 ps and low power dissipation of 15.6 m W at the sampling frequency of 350 MHz could be obtained, along with the FOM of 0.083 pJ/conv.-step.
本文提出了一种采用相位平均耦合环振荡器的高时间分辨率时数转换器(TDC)。CRO可以产生短时间间隔多相时钟,并与计数器相结合,使其具有宽输入范围和相对较小的电路的高时间分辨率TDC。此外,将相位平均应用于CRO,减小了由于失配引起的时序误差。提出了一种新的采样技术,以消除由于计数器延迟和小故障引起的采样误差。在28纳米CMOS技术的10位TDC上进行了布局后仿真,以评估所提出的TDC的性能。结果表明,在350 MHz的采样频率下,可获得2.5 ps的高时间分辨率和15.6 m W的低功耗,FOM为0.083 pJ/con .-step。
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引用次数: 0
Modeling of Sneaky Hardware Trojan Using Spin-orbit Torque Assisted Magnetic Tunnel Junction for High Speed Digital Circuits 基于自旋轨道转矩辅助磁隧道结的高速数字电路隐性硬件木马建模
Pub Date : 2022-11-11 DOI: 10.1109/APCCAS55924.2022.10090353
R. Kumar, Divyanshu Divyanshu, Danial Khan, S. Amara, Y. Massoud
This work explores spin-orbit torque (SOT) assisted magnetic tunnel junction (MTJ) as a potential candidate for designing sneaky hardware Trojan (HT). The type of payload targeted is IC malfunction using an externally triggered activation mechanism with an external magnetic field. To make it sneakier, we designed the Trojan to have sufficient tolerance to stray magnetic fields and thermal stability to ensure better-hidden operation for temperature-based tests during system-on-a-chip (SoC) flow. For creating a smaller Trojan, the energy barrier height's effect must be considered. Therefore, an appropriate optimization for SOT-assisted MTJ is required. This work thus considers the effect of process variation in key MTJ parameters by using Monte-Carlo (MC) simulations, and the effect of temperature sweep is utilized to determine the operational ability of the Trojan. We also conclude the Trojan optimization design by analysing its behaviour for high-speed IC operation by performing eye-diagram tests and transient analysis measurements for more practical applications. This work shows that a 5% reduction in MTJ key dimensions for Trojan operation has around 58.87% reduction in the critical magnetic field required for triggering with sufficient tolerance to process variation. Thus, this work contributes towards optimization of hardware Trojan for more sneaky operation.
本研究探讨了自旋轨道转矩(SOT)辅助磁隧道结(MTJ)作为设计隐性硬件木马(HT)的潜在候选器件。目标载荷类型是使用带有外部磁场的外部触发激活机制的IC故障。为了使其更加轻便,我们设计了特洛伊木马,使其具有足够的杂散磁场耐受性和热稳定性,以确保在片上系统(SoC)流程中更好地隐藏基于温度的测试。为了创建一个较小的特洛伊,必须考虑能量势垒高度的影响。因此,需要对sot辅助MTJ进行适当的优化。因此,本工作通过蒙特卡罗(MC)模拟考虑了工艺变化对关键MTJ参数的影响,并利用温度扫描的影响来确定木马的操作能力。通过眼图测试和瞬态分析测量,分析了特洛伊木马在高速IC运行中的行为,得出了特洛伊木马优化设计的结论。这项工作表明,特洛伊木马操作的MTJ关键尺寸减少5%,触发所需的临界磁场减少约58.87%,对工艺变化有足够的容忍。因此,这项工作有助于硬件木马的优化,以实现更隐蔽的操作。
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引用次数: 1
Study on Single Event Burnout Effect for 18V LDMOS Based on 0.18µm Process Technology 基于0.18µm工艺技术的18V LDMOS单事件烧坏效应研究
Pub Date : 2022-11-11 DOI: 10.1109/APCCAS55924.2022.10090399
Langtao Chen, Xin Zhou, Ying Wang, Ying Kong, R. Xie, Ling Peng, Yantu Mo, M. Qiao, Bo Zhang
In this paper, single event burnout (SEB) effect is investigated for 18V Lateral-diffused MOS (LDMOS) based on 0.18µm process technology. The SEB mechanism is revealed that parasitic bipolar turn-on and the self-maintaining induced by avalanche ionization. At early stage, heavy ion induced ionized holes inject into the P-body (PB) region, giving rise to the parasitic bipolar turn-on. Electrons from the source are allowed to flow to the drain, and exert modulation on electric field profile. Due to field peak formed at drain side, avalanche ionization induced holes provide a supplement for base current of the parasitic bipolar. A positive feedback of holes between the parasitic bipolar and avalanche is responsible for the SEB effect. Multi-implantation radiation hardening technology is proposed to reduce PB region resistance and suppress parasitic bipolar opened, while eliminate the impact on threshold voltage.
本文研究了基于0.18µm工艺的18V横向扩散MOS (LDMOS)的单事件烧坏(SEB)效应。揭示了雪崩电离诱导的寄生双极导通和自维持机制。在早期阶段,重离子诱导的电离空穴注入p体(PB)区域,产生寄生双极导通。允许来自源的电子流向漏极,并对电场剖面施加调制。由于在漏极侧形成场峰,雪崩电离诱导空穴为寄生双极的基极电流提供了补充。寄生双极和雪崩之间的孔的正反馈是造成SEB效应的原因。提出了多次植入辐射硬化技术,以降低PB区电阻,抑制寄生双极打开,同时消除对阈值电压的影响。
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引用次数: 0
Low-Complexity Parallel Syndrome Computation for BCH Decoders Based on Cyclotomic FFT 基于环切FFT的BCH译码器低复杂度并行综合征计算
Pub Date : 2022-11-11 DOI: 10.1109/APCCAS55924.2022.10090385
Xinyuan Qiao, Keyue Deng, Yuxing Chen, Suwen Song, Zhongfeng Wang
The long binary Bose-Chaudhuri-Hochquenghem (BCH) codes are widely used in communication and storage systems, and massive-parallel BCH decoders are expected to satisfy the requirement of high throughput. However, a large parallel degree leads to a significant increase in the hardware complexity of the syndrome computation (SC) module. Considering the similarities between SC and discrete Fourier transform (DFT), this paper proposes an advanced cyclotomic fast Fourier transform (CFFT) algorithm-aided SC architecture, which fully utilizes the property of characteristic-2 fields of binary BCH codes to reduce hardware complexity. The implementation results show that the proposed CFFT-aided architecture is desirable for long binary BCH codes with the error-correction capability less than 20. For (16383, 16271, 8) BCH code over GF(214), the hardware overhead of a 128-parallel SC module is reduced by 16% compared to the state-of-the-art architecture.
长二进制Bose-Chaudhuri-Hochquenghem (BCH)码广泛应用于通信和存储系统,大规模并行BCH译码器有望满足高吞吐量的要求。然而,大的并行度会导致综合征计算(SC)模块硬件复杂度的显著增加。考虑到SC与离散傅立叶变换(DFT)的相似性,本文提出了一种先进的环切快速傅立叶变换(CFFT)算法辅助SC架构,该架构充分利用二进制BCH码的特征-2域特性,降低了硬件复杂度。实现结果表明,cfft辅助结构适用于纠错能力小于20的长二进制BCH码。对于GF(214)上的(16383,16271,8)BCH代码,与最先进的架构相比,128并行SC模块的硬件开销减少了16%。
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引用次数: 1
A Low-Noise Neural Signal Amplifier Achieving 1.6 NEF and 2.56 PEF for Brain-Machine Interface 实现1.6 NEF和2.56 PEF的脑机接口低噪声神经信号放大器
Pub Date : 2022-11-11 DOI: 10.1109/APCCAS55924.2022.10090394
Weijian Chen, Xu Liu, Weisong Liang, Ze-Xi Lu, Peiyuan Wan, Zhijie Chen
This paper presents a low-power and low-noise front-end amplifier (FEA) dedicated to recording and preprocessing biomedical signals for brain-machine interface. The FEA employs a current-reused architecture which adopts an inverter-based differential input stage to achieve considerable $g_{m}/I$ efficiency and low noise. With a carefully designed common-mode feedback circuit, the output common-mode voltage of the fully-differential FEA is stabilized within an acceptable margin of error about 1 mV. All transistors in FEA operate in the sub-threshold region, realizing low power consumption. This current-reused FEA implemented in a CMOS 0.18- $mu mathbf{m}$ technology provides a noise efficiency factor (NEF) and power efficiency factor (PEF) of 1.6 and 2.56, respectively, corresponding to an input-referred noise of 2.37 $mu boldsymbol{V}_{rms}$. This FEA consumes only 2 $mu mathbf{A}$ current from 1 V supply and the active area is $0.2 mathbf{mm} times 0.2$ mm.
提出了一种用于脑机接口生物医学信号记录和预处理的低功耗、低噪声前端放大器。FEA采用电流重用架构,采用基于逆变器的差分输入级,实现可观的$g_{m}/I$效率和低噪声。通过精心设计的共模反馈电路,全差分有限元分析的输出共模电压稳定在约1mv的可接受误差范围内。FEA中的所有晶体管都工作在亚阈值区域,实现了低功耗。该电流复用FEA采用CMOS 0.18- $mu mathbf{m}$技术实现,噪声效率因子(NEF)和功率效率因子(PEF)分别为1.6和2.56,对应于2.37 $mu boldsymbol{V}_{rms}$的输入参考噪声。该FEA仅消耗来自1 V电源的2$ mu mathbf{A}$电流,有效面积为$0.2 mathbf{mm} 乘以0.2$ mm。
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引用次数: 0
Unsupervised Image Dataset Annotation Framework for Snow Covered Road Networks 积雪路网无监督图像数据集标注框架
Pub Date : 2022-11-11 DOI: 10.1109/APCCAS55924.2022.10090274
Mohamed Karaa, Hakim Ghazzai, Lokman Sboui, Hichem Besbes, Y. Massoud
Road surface condition estimation plays a crucial role in road safety and maintenance, especially in adverse weather conditions like snowfall. In this paper, we introduce a framework for unsupervised annotation of a dataset describing road snow cover level. This framework relies on feature learning using autoencoders and graph clustering using the Louvain community detection algorithm. We also incorporate time and weather data to facilitate the annotation process. We evaluate our method by assessing its different steps and comparing it to another density-based clustering method. We also present a large image dataset describing four road cover states in urban scenes, including different weather and visual conditions. The dataset comprises 41346 images collected from road monitoring cameras installed in Montreal, Canada, during the 2022 winter season. This dataset intends to help integrate computer vision techniques in planning snow removal operations.
路面状况评估在道路安全和维护中起着至关重要的作用,特别是在降雪等恶劣天气条件下。在本文中,我们引入了一个对描述道路积雪水平的数据集进行无监督标注的框架。该框架依赖于使用自编码器的特征学习和使用Louvain社区检测算法的图聚类。我们还合并了时间和天气数据,以方便注释过程。我们通过评估其不同步骤并将其与另一种基于密度的聚类方法进行比较来评估我们的方法。我们还提供了一个描述城市场景中四种道路覆盖状态的大型图像数据集,包括不同的天气和视觉条件。该数据集包括从2022年冬季安装在加拿大蒙特利尔的道路监控摄像头收集的41346张图像。该数据集旨在帮助将计算机视觉技术集成到规划除雪操作中。
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引用次数: 1
期刊
2022 IEEE Asia Pacific Conference on Circuits and Systems (APCCAS)
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