摘要翻译：
本文提出了一种电压型和电流型差分无磁非互易器件，该器件由两个单端(SE)环行器配对得到，每个环行器由三个一阶带通或带阻LC滤波器组成，它们以wye或delta拓扑连接。利用120°相移周期信号对每个SE环行器的谐振极点进行时间调制，通过时空调制(STM)实现合成角动量偏置。我们裁剪了两个SE环行器，使它们的STM偏置之间呈现出恒定的180°相位差。与传统的差分时变电路不同的是，该电路只对奇偶杂散进行抑制，我们证明了该结构消除了所有互调(IM)产物，从而使它们与外部观测器的线性时不变(LTI)电路一样工作。反过来，这一特性增强了所产生的环行器的所有指标，克服了SE架构的限制，并改善了插入损耗、阻抗匹配、带宽和噪声系数。我们表明，这种差分结构还显著地放宽了所需的调制参数，无论是在频率和幅度。我们建立了一个严格的小信号模型来指导所提出的电路的设计，并了解它们的伪LTI特性。然后，我们用模拟和测量来验证理论，与目前的无磁非互易器件相比，显示出显著的性能。
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英文标题：
《Pseudo-Linear Time-Invariant Magnetless Circulators Based on
  Differential Spatiotemporal Modulation of Resonant Junctions》
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作者：
Ahmed Kord, Dimitrios L. Sounas and Andrea Al\`u
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最新提交年份：
2018
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分类信息：

一级分类：Electrical Engineering and Systems Science        电气工程与系统科学
二级分类：Signal Processing        信号处理
分类描述：Theory, algorithms, performance analysis and applications of signal and data analysis, including physical modeling, processing, detection and parameter estimation, learning, mining, retrieval, and information extraction. The term "signal" includes speech, audio, sonar, radar, geophysical, physiological, (bio-) medical, image, video, and multimodal natural and man-made signals, including communication signals and data. Topics of interest include: statistical signal processing, spectral estimation and system identification; filter design, adaptive filtering / stochastic learning; (compressive) sampling, sensing, and transform-domain methods including fast algorithms; signal processing for machine learning and machine learning for signal processing applications; in-network and graph signal processing; convex and nonconvex optimization methods for signal processing applications; radar, sonar, and sensor array beamforming and direction finding; communications signal processing; low power, multi-core and system-on-chip signal processing; sensing, communication, analysis and optimization for cyber-physical systems such as power grids and the Internet of Things.
信号和数据分析的理论、算法、性能分析和应用，包括物理建模、处理、检测和参数估计、学习、挖掘、检索和信息提取。“信号”一词包括语音、音频、声纳、雷达、地球物理、生理、（生物）医学、图像、视频和多模态自然和人为信号，包括通信信号和数据。感兴趣的主题包括：统计信号处理、谱估计和系统辨识；滤波器设计；自适应滤波/随机学习；（压缩）采样、传感和变换域方法，包括快速算法；用于机器学习的信号处理和用于信号处理应用的机器学习；网络与图形信号处理；信号处理中的凸和非凸优化方法；雷达、声纳和传感器阵列波束形成和测向；通信信号处理；低功耗、多核、片上系统信号处理；信息物理系统的传感、通信、分析和优化，如电网和物联网。
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英文摘要：
  In this paper, we present voltage- and current-mode differential magnetless non-reciprocal devices obtained by pairing two single-ended (SE) circulators, each consisting of three first-order bandpass or bandstop LC filters, connected in either a wye or a delta topology. The resonant poles of each SE circulator are modulated in time with 120 deg phase-shifted periodic signals, resulting in synthetic angular-momentum biasing achieved through spatiotemporal modulation (STM). We tailor the two SE circulators to exhibit a constant 180 deg phase difference between their STM biases. Unlike conventional differential time-variant circuits, for which only the even or odd spurs are rejected, we show that the proposed configuration cancels out all intermodulation (IM) products, thus making them operate alike linear time-invariant (LTI) circuits for an external observer. In turn, this property enhances all metrics of the resulting circulator, overcoming the limitations of SE architectures, and improving insertion loss, impedance matching, bandwidth and noise figure. We show that this differential architecture also significantly relaxes the required modulation parameters, both in frequency and amplitude. We develop a rigorous small-signal model to guide the design of the proposed circuits and to get insights into their pseudo-LTI characteristics. Then, we validate the theory with simulations and measurements showing remarkable performance compared to the current state of the art of magnetless non-reciprocal devices.
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PDF链接：
https://arxiv.org/pdf/1709.08133