利用遗传算法系统设计稳定的高阶三角Σ调制器

IF 1.4 4区 工程技术 Q4 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE Analog Integrated Circuits and Signal Processing Pub Date : 2023-11-05 DOI:10.1007/s10470-023-02195-3
Ali Naderi Saatlo
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引用次数: 0

摘要

不稳定性是高阶三角积分调制器(DSM)的设计难题。DSM 的稳定性显示了最大稳定振幅 (MSA),在此范围内,它能在整个带宽内实现足够的精度。增加 DSM 阶数会缩小稳定振幅范围。此外,设计高效的噪声传递函数(NTF)对于 DSM 的合成也是必要的。本文介绍了一种无需稳定性恢复机制即可设计稳定的高阶 DSM 的系统方法。所提出的设计方法可用于具有最大稳定性的高阶单比特和多比特 DSM。为实现最大 DSM 振幅稳定性,系统模拟用于设计系数,并获得带宽不同点的 SNR 值。实际 SNR 值将确保遗传算法能搜索并找到最佳稳定性系数,这也是所提方法的最大特点。设计方法针对两个不同规格的 DSM 进行了实施,并将结果与类似研究进行了比较,结果表明所建议的方法具有可接受的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Systematic design of stable high-order delta sigma modulators using genetic algorithm

Instability is a design challenge with high-order delta-sigma modulator (DSM). DSM stability shows maximum stable amplitude (MSA) where it achieves adequate precision across the bandwidth. Increasing DSM order reduces the stable amplitude range. In addition, the design of an efficient noise transfer function (NTF) is necessary for the synthesis of a DSM. In this brief, a systematic method to design stable high-order DSM without the need for a stability-recovery mechanism is presented. The proposed design method can be used for high-order single-bit and multi-bit DSM with maximum stability. To achieve maximum DSM amplitude stability, systematic simulation is used to design coefficients and obtain SNR values at different points of bandwidth. Actual SNR values will ensure that the genetic algorithm will search and find optimum stability coefficients, the most important feature of the proposed method. The design method is implemented for two DSMs with different specifications and the results are compared with similar studies, showing that the proposed method has acceptable performance.

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来源期刊
Analog Integrated Circuits and Signal Processing
Analog Integrated Circuits and Signal Processing 工程技术-工程:电子与电气
CiteScore
0.30
自引率
7.10%
发文量
141
审稿时长
7.3 months
期刊介绍: Analog Integrated Circuits and Signal Processing is an archival peer reviewed journal dedicated to the design and application of analog, radio frequency (RF), and mixed signal integrated circuits (ICs) as well as signal processing circuits and systems. It features both new research results and tutorial views and reflects the large volume of cutting-edge research activity in the worldwide field today. A partial list of topics includes analog and mixed signal interface circuits and systems; analog and RFIC design; data converters; active-RC, switched-capacitor, and continuous-time integrated filters; mixed analog/digital VLSI systems; wireless radio transceivers; clock and data recovery circuits; and high speed optoelectronic circuits and systems.
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