Abstract

Calibration is preferred over dynamic element matching (DEM) techniques to correct nonlinearity in digital-to-analog converters (DACs) in high-speed multi-bit continuous-time (CT) delta-sigma modulators (DSMs) to avoid introducing extra excess loop delay. The state-of-the-art calibration techniques, however, involve substantial external control, making it difficult for a complete on-chip realization. In this paper a highly automated on-chip technique for calibrating differential nonlinearity (DNL) and inter-symbolinterference (ISI) errors of a multi-bit DAC in a CTDSM is presented. The proposed technique implements a Calibration Control System (CCS), equipped with a Finite State Machine (FSM) logic, that automates the entire calibration process with minimal intervention. The calibration loop utilizes the modulator itself to produce the digital estimates of the DNL and the average ISI errors of each unit element of the DAC. These digital estimates are then used to configure auxiliary DACs for correction of the errors in the main DAC. For every unit element in the main DAC, an 8-bit dynamic auxiliary DAC injects a calibrated compensation current in the loop at every up-transition of the input data to cancel the average ISI error, and a 5-bit constant current source array corrects its DNL error. Design considerations and post-layout simulation results for a 50-MHz bandwidth, 1.8GS/s 4 th -order CTDSM are presented. The modulator has a 4.8 dB and a 10.8 dB improvement in SNDR and SFDR respectively with calibration, leading to a dynamic range of 71 dB with a total power consumption of 37.7 mW from 1.3 V and 1 V supplies.

Highlights

  • INTRODUCTIONContinuous-time (CT) delta-sigma modulators (DSMs) are a favorable analog-to-digital converter (ADC) approach for wide-bandwidth and high-resolution applications, for example, in wireless receivers for modern communication standards, such as LTE-Advanced, which typically require signal bandwidths of over 10 MHz and signal-to-noise-ratio (SNR) greater than 70 dB [1]

  • Continuous-time (CT) delta-sigma modulators (DSMs) are a favorable analog-to-digital converter (ADC) approach for wide-bandwidth and high-resolution applications, for example, in wireless receivers for modern communication standards, such as LTE-Advanced, which typically require signal bandwidths of over 10 MHz and signal-to-noise-ratio (SNR) greater than 70 dB [1].The associate editor coordinating the review of this manuscript and approving it for publication was Venkata Rajesh Pamula .To reduce the in-band quantization noise to support a wider bandwidth in a CTDSM, one can increase the oversampling ratio (OSR)

  • This is addressed by appropriately choosing its LSB current (ILSB ) and its load resistor (R2) such that the static power consumption of the digital-to-analog converters (DACs) is minimized while meeting the SNR specification

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Summary

INTRODUCTION

Continuous-time (CT) delta-sigma modulators (DSMs) are a favorable analog-to-digital converter (ADC) approach for wide-bandwidth and high-resolution applications, for example, in wireless receivers for modern communication standards, such as LTE-Advanced, which typically require signal bandwidths of over 10 MHz and signal-to-noise-ratio (SNR) greater than 70 dB [1]. The nonlinearity of the main feedback DAC (DAC1) cannot be suppressed by the loop filter because it is at the input stage Where cal is the FS of the 1-bit CALDAC, Edac represents the DNL of the unit element during static calibration and average ISI error during dynamic calibration, Eth, EQ and Vos denote the input referred in-band thermal noise, the quantization noise and the offset voltage of the modulator respectively. We propose an on-chip control system that automates the calibration procedure allowing the calibration to run at regular intervals to track the temperature changes and aging effects The implementation of this two-step estimation procedure for DNL and ISI errors of the 4-bit main DAC and their corresponding corrections with the auxiliary DACs are explained

ESTIMATION AND CORRECTION OF DNL
FEEDBACK DACS
AUXILIARY DACS
SIMULATION RESULTS
CONCLUSION
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