Achievable ADC Performance by Postcorrection Utilizing Dynamic Modeling of the Integral Nonlinearity (original) (raw)

Methodology and Measurement Setup for Analog-to-Digital Converter Postcompensation

IEEE Transactions on Instrumentation and Measurement, 2014

We present a methodology for nonlinearity compensation amenable to a wide variety of analog-to-digital converters (ADCs). To that purpose, a postcompensation scheme for a commercial ADC is presented and two compensator models are considered: 1) the memory polynomial (MP) and 2) the modified generalized MP. Since the proposed method does not use any information about the compensated architecture, it can be applied to different ADC designs. Furthermore, we address the measurement and characterization setup of the device under test by making a study of the quality of the signals involved to verify the improvement obtained. The issue of the training sequences required by the proposed compensation method is also addressed in detail. Despite the common use of a single training signal, we propose to use several sinusoids in the bandwidth of interest. With this, it is possible to show that the generalization properties of the estimated postcompensator are greatly enhanced compared with the case of a single sinusoid training sequence. As verified by the measurements, considerable gain in accuracy can be obtained using the proposed methodology. In particular, a 10-dB increment in spurious free dynamic range is obtained using the proposed postcompensators over the complete Nyquist frequency band.

Postcorrection of Pipelined Analog–Digital Converters Based on Input-Dependent Integral Nonlinearity Modeling

IEEE Transactions on Instrumentation and Measurement, 2000

An input-dependent integral nonlinearity (INL) model is developed for pipeline ADC post-correction. The INL model consists of a static and dynamic part. The INL model is subtracted from the ADC digital output for compensation. Static compensation is performed by adjacent sets of gains and offsets. Each set compensates a certain output code range. The frequency content of the INL dynamic component is used to design a set of filter blocks that performs ADC compensation in the time domain. The compensation scheme is applied to measured data of two 12-bit ADCs of the same type (Analog Devices AD9430). Significant performance improvements in terms of spurious free dynamic range (SFDR) are obtained.

Accurate Prediction of Analog-to-Digital Converter Performance After Post-Correction

2006

Analog-to-digital converter additive postcorrection using look-up-tables is considered. An accurate expression is provided that predicts the ADC performance after correction. The expression depends on differential nonlinearity, random noise variance, and the numerical precision of the correction terms. The theory shows good agreement when compared with simulations and experimental converter data.

Signal processing results on dynamic ADC post-correction

2005

In this paper we give a brief introduction to some issues and results regarding ADC post-correction and ADCs in wireless systems. The emphasis is on dynamic post-correction, and the theories are presented from a signal processing point of view.

Pipelined Analog-Digital Converters Integral Nonlinearity Modeling for Post-Correction

2010

An input-dependent integral nonlinearity (INL) model is developed for pipeline ADC post-correction. The INL model consists of a static and dynamic part. The INL model is subtracted from the ADC digital output for compensation. Static compensation is performed by adjacent sets of gains and offsets. Each set compensates a certain output code range. The frequency content of the INL dynamic component is used to design a set of filter blocks that performs ADC compensation in the time domain. The compensation scheme is applied to measured data of two 12-bit ADCs of the same type (Analog Devices AD9430). Significant performance improvements in terms of spurious free dynamic range (SFDR) are obtained.

A TWO-STEP POST PROCESSING METHOD FOR ADC OUTPUT COMPRESSION AND LINEARITY IMPROVEMENT Nikos Petrellis, George Adam and Dimitrios Ventzas

Two post processing algorithms for the correction of linearity errors that occur at Analog/Digital Converter (ADC) outputs are presented in this paper. One of these algorithms corrects periodic DNL errors lower than 1LSB (Least Significant Bit) while the second one can be used in any case of severe DNL variation at successive ADC output codes. Simulations based on the output of a real ADC show that the combination of these two algorithms can improve the Signal to Noise and Distortion Ratio (SNDR) by up to 6dB in an 8-bit ADC. These algorithms can be easily implemented in hardware using low complexity and die area digital circuits that can be placed between an ADC and the Signal Processing system that utilizes its output. Moreover, the output of these algorithms is in compressed form, leading to lower traffic at the output of the ADC and allowing the use of a serial interface for lower pin count. These linearity improvement algorithms are simulated in Matlab.

A 2-step Post Processing Method for ADC Output Compression and Linearity Improvement

Proceedings of the IASTED SIPA 2011, 2011

Two post processing algorithms for the correction of linearity errors that occur at Analog/Digital Converter (ADC) outputs are presented in this paper. One of these algorithms corrects periodic DNL errors lower than 1LSB (Least Significant Bit) while the second one can be used in any case of severe DNL variation at successive ADC output codes. Simulations based on the output of a real ADC show that the combination of these two algorithms can improve the Signal to Noise and Distortion Ratio (SNDR) by up to 6dB in an 8-bit ADC. These algorithms can be easily implemented in hardware using low complexity and die area digital circuits that can be placed between an ADC and the Signal Processing system that utilizes its output. Moreover, the output of these algorithms is in compressed form, leading to lower traffic at the output of the ADC and allowing the use of a serial interface for lower pin count. These linearity improvement algorithms are simulated in Matlab.

A Two-Step Post Processing Method for ADC Output Compression and Linearity Improvement

Signal and Image Processing and …, 2011

Two post processing algorithms for the correction of linearity errors that occur at Analog/Digital Converter (ADC) outputs are presented in this paper. One of these algorithms corrects periodic DNL errors lower than 1LSB (Least Significant Bit) while the second one can be used in any case of severe DNL variation at successive ADC output codes. Simulations based on the output of a real ADC show that the combination of these two algorithms can improve the Signal to Noise and Distortion Ratio (SNDR) by up to 6dB in an 8-bit ADC. These algorithms can be easily implemented in hardware using low complexity and die area digital circuits that can be placed between an ADC and the Signal Processing system that utilizes its output. Moreover, the output of these algorithms is in compressed form, leading to lower traffic at the output of the ADC and allowing the use of a serial interface for lower pin count. These linearity improvement algorithms are simulated in Matlab.