基于维纳模型的ADC非线性失真后校正

Peng Liang, Sun Guocang, Deng Haihua, Chen Ming
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引用次数: 4

摘要

提出了一种基于解耦维纳模型的后补偿方法来消除模数转换器的非线性。无记忆非线性补偿器由无记忆非线性子系统和动态线性子系统组成。利用正弦信号刺激下ADC输出的谐波失真信息测量维纳模型的模型参数。实验结果表明,该技术的无杂散动态范围(SFDR)提高了约20 db。扫频结果表明,非线性补偿器的参数可以通过训练信号激励获得。在窄带抖动技术的帮助下,基于维纳模型的补偿器以极小的信噪比代价将SFDR提高了10 db。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Wiener model based post-calibration of ADC nonlinear distortion
A post-compensation method based on decoupled Wiener model to eliminate the nonlinearity of Analog-to-Digital Converters is proposed in this paper. The compensator of memoryless nonlinearity is composed of a nonlinear subsystem without memory and a dynamic linear subsystem. The model parameters of Wiener model are measured by using harmonic distortion information in ADC output by sinusoidal signal stimulation. The results of experiment indicate that the spurious free dynamic range (SFDR) of this technique achieves about 20-dB improvement. Frequency sweeping results show that the parameters of nonlinear compensator can be acquired by a training signal excitation. With the help of narrowband-dithering technique, the Wiener model based compensator results in extra 10-dB improvement in SFDR by tiny cost of signal-to-noise ratio.
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