Method to Determine Quantization-Related Parameters of the Digital-to-Time Converter in a Fractional-N Frequency Synthesizer

IF 5.6 1区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Transactions on Circuits and Systems I: Regular Papers Pub Date : 2024-10-25 DOI:10.1109/TCSI.2024.3481904
Xu Wang;Michael Peter Kennedy
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Abstract

Digital-to-time converters (DTC’s) used in fractional-N frequency synthesizers attempt to cancel the accumulated quantization error (QE) introduced by the divider controller with a view to recovering the integer-N phase noise (PN) performance. The resolution of the DTC needs to be sufficiently fine to suppress its own QE below the intrinsic integer-N jitter and, at the same time, sufficiently coarse to limit the DTC’s hardware needs. In this manuscript, we propose optimal strategies to determine the effective dynamic range, number of bits, quantization resolution, and unity delay of the DTC to achieve these goals; the additional jitter power introduced by input-dithered quantization methods to eliminate DTC-quantization-induced spurs is also considered. DTCs parameterized following these strategies can come close to realizing the spur-free integer-N PN with minimum hardware. Behavioral simulations confirm our analysis.
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分数n频率合成器中数字时间转换器量化相关参数的确定方法
用于分数n频率合成器的数时转换器(DTC)试图消除分频控制器引入的累积量化误差(QE),以恢复整数n相位噪声(PN)性能。DTC的分辨率需要足够精细,以抑制其自身的QE低于固有的整数n抖动,同时,足够粗糙,以限制DTC的硬件需求。在本文中,我们提出了确定DTC的有效动态范围、位数、量化分辨率和单位延迟的最佳策略,以实现这些目标;此外,还考虑了输入抖动量化方法为消除dtc量化引起的杂散而引入的额外抖动功率。根据这些策略参数化的dtc可以用最少的硬件实现无刺激整数n PN。行为模拟证实了我们的分析。
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来源期刊
IEEE Transactions on Circuits and Systems I: Regular Papers
IEEE Transactions on Circuits and Systems I: Regular Papers 工程技术-工程:电子与电气
CiteScore
9.80
自引率
11.80%
发文量
441
审稿时长
2 months
期刊介绍: TCAS I publishes regular papers in the field specified by the theory, analysis, design, and practical implementations of circuits, and the application of circuit techniques to systems and to signal processing. Included is the whole spectrum from basic scientific theory to industrial applications. The field of interest covered includes: - Circuits: Analog, Digital and Mixed Signal Circuits and Systems - Nonlinear Circuits and Systems, Integrated Sensors, MEMS and Systems on Chip, Nanoscale Circuits and Systems, Optoelectronic - Circuits and Systems, Power Electronics and Systems - Software for Analog-and-Logic Circuits and Systems - Control aspects of Circuits and Systems.
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