Analog-to-digital converter survey and analysis

By R. Walden. 1999

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Citations in the corpus

Beamforming for Millimeter Wave Communications: An Inclusive Survey (2016, background): “analog-to-digital converter (ADC) and digital-to-analog converter (DAC) [154], [155], and is particularly severe in the wideband millimeter wave Gbps communication regime.”
Optically sampled analog-to-digital converters (2001, background): “For example, electronic ADCs with sampling rates 1 GS/s (gigasample per second) are presently limited to resolutions of less than seven effective bits [44-dB signal-to-noise ratio (SNR)] [1],”
Symbiotic Radio: A New Communication Paradigm for Passive Internet of Things (2018, background): “9 dB for an 8-bit ideal ADC [34]) and the line-ofsight (LoS) pathloss due to the transmission from the BD to PR is usually within this range (e.”
Capacity Analysis of One-Bit Quantized MIMO Systems With Transmitter Channel State Information (2014, background): “The most direct solutions to the power assumption bottle-neck are to reduce the sampling rate and/or the quantization resolution of ADCs.”
A/D converter trends: Power dissipation, scaling and digitally assisted architectures (2008, methodology): “Normalizing by the number of quantization steps assumes that doubling precision would double power, which finds only empirical justification [4].”
A 26 $\mu$ W 8 bit 10 MS/s Asynchronous SAR ADC for Low Energy Radios (2011, unknown): “Using the FoM definition originating from [8]”
Compressive Sensing by Random Convolution (2009, background): “Running the ADC at a slower rate gives us the benet of taking more robust samples, as sample accuracy tends to degrade quickly with sample rate [23, 43 ], and allows us to acquire signals with bandlimits that are beyond the reach of standard ADCs.”
Microwave Photonics (2009, background): “comprehensive review on electronic analog-to-digital conversion can be found in [163].”
Bayes-Optimal Joint Channel-and-Data Estimation for Massive MIMO With Low-Precision ADCs (2015, background): “In particular, the hardware complexity and power consumption of analog-to-digital converters (ADCs) increase exponentially with the number of bits per sample [5] and thus present a major obstacle.”
Compressive sensing: From theory to applications, a survey (2013, background): “The approach of random non-uniform sampling used in ADC is bandwidth limited with present hardware devices [79] whereas AIC utilizes random sampling for wideband signals for which random non-uniform sampling fails.”
The Race for the Extra Decibel: A Brief Review of Current ADC Performance Trajectories (2015, background): “This reference point was created in [1], suggesting an “ultimate” aperture limit of about 0.”
Analog Beamforming in MIMO Communications With Phase Shift Networks and Online Channel Estimation (2010, background): “In contrast, ADC power was reduced only by a factor of 10 in the past decade [3].”
In-Band Full-Duplex Wireless: Challenges and Opportunities (2013, background): “ENOB, improving by only about 1 bit/decade [8] (see also [7] and [10]).”
Photonic analog-to-digital converters. (2007, background): “When the only source of noise is quantization error, the signal-to-noise ratio, SNRQ, can be related to the number of bits N through [2] (Walden, 1999) SNRQ(dB) = 20 log10(Vfs,rms/ΔQ) (1) where the rms full-scale voltage, Vfs,rms , equals Vfs/23/2 for a sine wave.”
High-Spectral-Efficiency Optical Modulation Formats (2012, background): “The technological trade-off between ADC resolution and bandwidth is analyzed in a series of papers by Walden [68], [69], and reveals a reduction of about 3.”