In this work, a novel magnetic field-to-digital converter based on emerging spin-torque nano-oscillators (STNOs) is proposed. The architecture is inspired by voltage controlled oscillator (VCO)-based analog-to-digital converters (ADCs) which have shown inherent first-order noise shaping of both quantization- and phase-noise without the need for feedback. In the proposed architecture, the STNO acts both as a magnetic field sensor and VCO. The architecture's performance is evaluated in terms of signal-to-noise and distortion ratio (SNDR) utilizing Verilog-AMS modeling, where a macrospin model fitted to experimental data is employed for accurate description of the STNO operation. The presented simulation results demonstrate the potential of the STNO-based magnetic field-to-digital converter architecture.

中文翻译：

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采用自旋扭矩纳米振荡器的磁场数字转换器

在这项工作中，提出了一种基于新兴自旋扭矩纳米振荡器 (STNO) 的新型磁场数字转换器。该架构的灵感来自基于压控振荡器 (VCO) 的模数转换器 (ADC)，这些转换器在无需反馈的情况下显示了量化和相位噪声的固有一阶噪声整形。在提议的架构中，STNO 既充当磁场传感器又充当 VCO。利用 Verilog-AMS 建模，根据信噪比和失真比 (SNDR) 评估架构的性能，其中采用适合实验数据的宏自旋模型来准确描述 STNO 操作。所呈现的仿真结果证明了基于 STNO 的磁场数字转换器架构的潜力。