评估超低电压放大器 ASIC 的测量方法

IF 1 4区工程技术 Q4 INSTRUMENTS & INSTRUMENTATION

Measurement Science Review Pub Date : 2024-03-07 DOI:10.2478/msr-2024-0002

Richard Ravasz, Miroslav Potočný, Daniel Arbet, Martin Kováč, David Maljar, Lukáš Nagy, Viera Stopjaková

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引用次数: 0

摘要

本文介绍了为全差分放大器（FDDA）原型芯片样品的实验评估而开发的测量电路和测试板。被测设备（DUT）是一种超低电压、高性能集成 FDDA，采用 130nm CMOS 技术设计和制造。FDDA 的电源电压为 400mV。测量电路是在测试板上用制作好的 FDDA 芯片实现的，以评估其主要参数和性能。在这项工作中，我们重点评估了以下参数：输入失调电压、共模抑制比和电源抑制比。我们开发并验证了测试板。经测量，测试板误差为 38.73mV。FDDA 的偏移电压为 -0.66mV。测得的 FDDA 增益和增益带宽分别为 48dB 和 550kHz。除测量板外，还开发了一个图形用户界面，以简化测量期间对被测设备的控制。

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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Measurement Approach to Evaluation of Ultra-Low-Voltage Amplifier ASICs

This article presents measurement circuits and a test board developed for the experimental evaluation of prototype chip samples of the Fully Differential Difference Amplifier (FDDA). The Device Under Test (DUT) is an ultra low-voltage, high performance integrated FDDA designed and fabricated in 130nm CMOS technology. The power supply voltage of the FDDA is 400mV. The measurement circuits were implemented on the test board with the fabricated FDDA chip to evaluate its main parameters and properties. In this work, we focus on evaluation of the following parameters: the input offset voltage, the common-mode rejection ratio, and the power supply rejection ratio. The test board was developed and verified. The test board error was measured to be 38.73mV. The offset voltage of the FDDA was −0.66mV. The measured FDDA gain and gain bandwidth were 48dB and 550kHz, respectively. In addition to the measurement board, a graphical user interface was also developed to simplify the control of the device under test during measurements.

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来源期刊

Measurement Science Review INSTRUMENTS & INSTRUMENTATION-

CiteScore

2.00

自引率

11.10%

发文量

审稿时长

4.8 months

期刊介绍： - theory of measurement - mathematical processing of measured data - measurement uncertainty minimisation - statistical methods in data evaluation and modelling - measurement as an interdisciplinary activity - measurement science in education - medical imaging methods, image processing - biosignal measurement, processing and analysis - model based biomeasurements - neural networks in biomeasurement - telemeasurement in biomedicine - measurement in nanomedicine - measurement of basic physical quantities - magnetic and electric fields measurements - measurement of geometrical and mechanical quantities - optical measuring methods - electromagnetic compatibility - measurement in material science