Blind Identification and Digital Calibration of Volterra Model Based on Least Mean Square Method

Peng, Liang; Hai-hua, Deng; Chen, Ming

doi:10.2991/3ca-13.2013.1

Cited by 3 publications

(1 citation statement)

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“…It is possible to extract the nonlinear characteristic of ADC by using a nonlinear model such as Volterra model [3]. The compensation parameters can be renewed adaptively by a least mean square algorithm.…”

Section: Introductionmentioning

confidence: 99%

A Wiener model based post-calibration of ADC nonlinear distortion

Peng

Guocang

Hai-hua

et al. 2014

2014 IEEE Workshop on Electronics, Computer and Applications

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Ahstract-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 lO-dB improvement in SFDR by tiny cost of signal-to-noise ratio.

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Section: Introductionmentioning

confidence: 99%