Time-interleaved high speed D/A converters

Olieman, Erik

doi:10.3990/1.9789036540193

Cited by 3 publications

(1 citation statement)

References 56 publications

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“…In general, the CS-DAC has both static and dynamic errors. However, in this paper, we consider modern time-interleaved architectures that suppress dynamic errors by hiding code transitions from the output [5]. The work in [6] provides a machine learning-based procedure to calibrate interleaving effects for such architectures.…”

Section: Introductionmentioning

confidence: 99%

Linearization for High-Speed Current-Steering DACs Using Neural Networks

Beauchamp

Chugg

2021

2021 IEEE 12th Latin America Symposium on Circuits and System (LASCAS)

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This paper proposes a novel foreground linearization scheme for a high-speed current-steering (CS) digital-toanalog converter (DAC). The technique leverages neural networks (NNs) to derive a lookup-table (LUT) that maps the inverse of the DAC transfer characteristic onto the input codes. The algorithm is shown to improve conventional methods by at least 6dB in terms of intermodulation (IM) performance for frequencies up to 9GHz on a state-of-the-art 10-bit CS-DAC operating at 40.96GS/s (gigasamples-per-second) in 14nm CMOS.

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Section: Introductionmentioning

confidence: 99%

Linearization for High-Speed Current-Steering DACs Using Neural Networks

Beauchamp

Chugg

2021

2021 IEEE 12th Latin America Symposium on Circuits and System (LASCAS)

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Energy Efficiency of mmWave Massive MIMO Precoding With Low-Resolution DACs

Ribeiro

Schwarz

Rupp

et al. 2018

IEEE J. Sel. Top. Signal Process.

174

134

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With the congestion of the sub-6 GHz spectrum, the interest in massive multiple-input multiple-output (MIMO) systems operating on millimeter wave spectrum grows. In order to reduce the power consumption of such massive MIMO systems, hybrid analog/digital transceivers and application of low-resolution digital-to-analog/analog-to-digital converters have been recently proposed. In this work, we investigate the energy efficiency of quantized hybrid transmitters equipped with a fully/partially-connected phase-shifting network composed of active/passive phase-shifters and compare it to that of quantized digital precoders. We introduce a quantized single-user MIMO system model based on an additive quantization noise approximation considering realistic power consumption and loss models to evaluate the spectral and energy efficiencies of the transmit precoding methods. Simulation results show that partially-connected hybrid precoders can be more energy-efficient compared to digital precoders, while fully-connected hybrid precoders exhibit poor energy efficiency in general. Also, the topology of phaseshifting components offers an energy-spectral efficiency tradeoff: active phase-shifters provide higher data rates, while passive phase-shifters maintain better energy efficiency.

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Analysis and Calibration for Wideband Times-2 Interleaved Current-Steering DACs

Beauchamp

Chugg

2022

IEEE Trans. Circuits Syst. I

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Time-interleaved high speed D/A converters

Cited by 3 publications

References 56 publications

Linearization for High-Speed Current-Steering DACs Using Neural Networks

Linearization for High-Speed Current-Steering DACs Using Neural Networks

Energy Efficiency of mmWave Massive MIMO Precoding With Low-Resolution DACs

Analysis and Calibration for Wideband Times-2 Interleaved Current-Steering DACs

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