高速电流转向数模转换器的静态数字预失真方法

Patrick Valet, D. Schwingshackl, Ulrich Gaier, A. Tonello
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引用次数: 2

摘要

提出了一种用于电流转向数模转换器(CS-DAC)的静态数字预失真(DPD)方法。该模型利用当前单元阵列结构的知识来计算单元的静态失配电流。所有单元格的不匹配值存储在内存中,并添加到原始输入代码中以生成新的预失真输入字。转换器用自己的电流单元校正静态误差,而无需合并额外的校准DAC (CALDAC)或可编程电流源。由于电路设计更简单,从而减少了面积、功耗和仿真运行时间。所提出的方法能够在校准阶段使用信息信号,因此可以实现作为背景校准。通过MATLAB中14位静态CS-DAC模型的仿真,对所提出的DPD进行了评估。结果表明,信噪比(SNDR)的性能增益可达16dB。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Static Digital Pre-Distortion Method for High-Speed Current-Steering Digital-to-Analog Converters
This paper presents a static digital pre-distortion (DPD) method for a current-steering digital-to-analog converter (CS-DAC). The proposed model utilizes the knowledge of the current cell array architecture to calculate the static mismatch currents of the cells. The mismatch values of all cells are stored in memory and added to the original input code to generate the new pre-distorted input word. The converter corrects the static error with its own current cells without incorporating an additional calibration DAC (CALDAC) or programmable current sources. This results in a reduction in area, power and simulation run times because of the simpler circuit design. The proposed method is able to use an information signal for the calibration phase, thus it is possible to be implemented as a background calibration. The evaluation of the proposed DPD is done via simulations in MATLAB with a 14-bit static CS-DAC model. The results show a performance gain of the signal-to-noise-plus-distortion ratio (SNDR) of up to 16dB.
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