一个基于基因算法的多维校准在12位750 MS/s管道ADC中
Hanbo Jia1, Xuan Guo1, Huaiyu Zhai1,2
1Institute of Microelectronics of the Chinese Academy of Sciences, Beijing 100029, China.
Micromachines
|September 28, 2023
概括
本研究引入了一种使用遗传算法 (GA) 的多维校准技术,以提高管道模拟数字转换器 (ADC) 的精度. 该方法显著提高了信号噪声比和动态范围,这对于高速应用至关重要.
科学领域:
- 电气工程 电气工程
- 信号处理 信号处理
- 集成电路设计 集成电路设计
背景情况:
- 管道式模拟数字转换器 (ADC) 对于高速和高分辨率的数据转换至关重要.
- 管道式ADC的准确性主要受多个数字对模拟转换器 (MDAC) 的错误限制,包括电容不匹配和间阶段增强错误 (IGE).
研究的目的:
- 开发和验证一个多维 (M-D) MDAC校准技术,用于12位750 MS/s管道ADC.
- 为了弥补MDAC中的静态和动态错误,从而提高ADC的整体性能.
主要方法:
- 实施一个多维 (M-D) MDAC补偿模型,其中包含一个用于前景校准的遗传算法 (GA).
- 使用伪随机数 (PN) 注入用于随后的背景校准,以解决动态IGE.
- 开发基于GA的M-D系数提取方案,以避免局部最佳.
主要成果:
- 拟议的校准显著改善了原型12位750 MS/s管道ADC的性能.
- 信号对噪声和扭曲比率 (SNDR) 从49.9dB提高到59.6dB,虚无动态范围 (SFDR) 在25°C下从66.7dB提高到77.5dB.
- 背景校准进一步提高了SNDR的3.4dB和SFDR的8.8dB在85°C.
结论:
- 基于GA的多维MDAC校准有效地弥补了管道ADC中的电容器不匹配和IGE.
- 拟议的技术提高了静态和动态性能,证明了其适用于高性能ADC应用的适用性.
- 该方法提供了一个强大的解决方案,用于提高不同温度的高速,高分辨率管道ADC的精度.
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