CMOS ADCs Towards 100 GS/s and Beyond

Kull, Lukas; Luu, Danny; Francese, Pier Andrea; Menolfi, Christian; Braendli, Matthias; Kossel, Marcel; Morf, Thomas; Cevrero, Alessandro; Oezkaya, Ilter; Yueksel, Hazar; Toifl, Thomas

doi:10.1109/csics.2016.7751033

Cited by 8 publications

(7 citation statements)

References 5 publications

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“…As such, to cover the full sub-6GHz range of frequencies, an ADC capable of 12 GSample/s would be required. Recent advances in both semiconductor design and the use of time interleaving, where large arrays of sub-ADCs are run in parallel, have allowed sampling rates to reach up to 90 GSample/s [19]. Higher sampling rates tend to lead to either greater power consumption or component count.…”

Section: Single-chain Tunable Multiband Receiversmentioning

confidence: 99%

Concurrent Multiband Direct RF Sampling Receivers

Henthorn

O’Farrell

Anbiyaei

et al. 2023

IEEE Trans. Wireless Commun.

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Direct radio frequency (RF) sampling receivers are investigated for use in concurrent multiband reception for mobile broadband (MBB) applications. The recent proliferation of different frequency bands and standards in wireless communications has allowed large increases in mobility and throughput, but the number of receivers in a device is limited by physical space and power consumption. Software Defined Radio (SDR) is increasingly being explored to reduce the number of analog RF components required. This paper examines the use of direct RF digitization, allowing tunable and concurrent reception of multiple bands with a single RF front-end. Full mathematical models of both Nyquist and subband sampling receivers are presented and used to investigate a quadband LTE receiver, which is modeled in Simulink and implemented in a hardware-in-theloop (HWIL) testbed. Individual bands are simulated to have at worst -95dBm sensitivity for 16-QAM with Nyquist sampling and -83dBm with subband sampling. Desensitization of the receivers due to multiband processing is evaluated theoretically and experimentally, showing a maximum of 3dB degradation, which is within the LTE standard for adjacent band interference.

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Section: Single-chain Tunable Multiband Receiversmentioning

confidence: 99%

Concurrent Multiband Direct RF Sampling Receivers

Henthorn

O’Farrell

Anbiyaei

et al. 2023

IEEE Trans. Wireless Commun.

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“…Based on the previous analysis, Fig. 5 depicts a block diagram of the AFE+TI-ADC in a dual-polarization optical coherent receiver with the adaptive calibration block, which includes four instances of the real filter as defined by (11). For simplicity, we modified the notation of the system model of Fig.…”

Section: Error Backpropagation Based Compensation Of Afe and Ti-adc I...mentioning

confidence: 99%

“…where Γ (j,i) n [l] is the time-varying impulse response of the filter with input i and output j, L Γ is the number of taps of the filter, while x (i) [l] is the signal at the DSP block input i given by (11), i.e.,…”

Section: B Error Backpropagation (Ebp)mentioning

confidence: 99%

“…In the near future symbol rates will increase to 128-150 GBd or higher, required bandwidths will be in the range of 65-75 GHz, and sampling rates in the 200-250 GHz range. The technique universally applied so far to achieve these high bandwidths and sampling rates in coherent transceivers is the time interleaved ADC (TI-ADC) [10], [11]. Frequency interleaved ADCs (FI-ADC) may become a promising alternative in the near future [12].…”

Section: Introductionmentioning

confidence: 99%

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On the Application of Error Backpropagation to the Background Calibration of Time Interleaved ADC for Digital Communication Receivers

Solis,

Reyes,

Morero

et al. 2020

Preprint

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This paper introduces a backpropagation-based technique for the calibration of the mismatch errors of timeinterleaved analog to digital converters (TI-ADCs). This technique is applicable to digital receivers such as those used in coherent optical communications. The error at the slicer of the receiver is processed using a modified version of the well known backpropagation algorithm from machine learning. The processed slicer error can be directly applied to compensate the TI-ADC mismatch errors with an adaptive equalizer, or it can be used to digitally estimate and correct said mismatch errors using analog techniques such as delay cells and programmable gain amplifiers (PGA). The main advantages of the technique proposed here compared to prior art are its robustness, its speed of convergence, and the fact that it always works in background mode, independently of the oversampling factor and the properties of the input signal, as long as the receiver converges. Moreover, this technique enables the joint compensation of impairments not addressed by traditional TI-ADC calibration techniques, such as I/Q skew in quadrature modulation receivers. Simulations are presented to demonstrate the effectiveness of the technique, and low complexity implementation options are discussed.

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“…However, due to the very short duration and ultrabroadband nature of the transmitted THz signals, this theorem imposes several challenges on the hardware, storage, and subsequent signal processing ultimately leading to stressed out analog-to-digital converters (ADCs) at the receiver side [4,5]. Moreover, the state-of-the art ADCs can only sample at rates around 100 Giga-Samples-per-second (GSas) [6,7], much below the Nyquist rate for THz signals.…”

Section: Introductionmentioning

confidence: 99%

Compressed Detection for Pulse‐Based Communications in the Terahertz Band

Singh

Kim

Jung

2018

Wireless Communications and Mobile Computing

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Terahertz (THz) band (0.1-10 THz)-based electromagnetic communications are envisioned as a key technology to enable future high-data-rate short-range ultrabroadband communications. However, one of the fundamental bottlenecks is the efficiency of the analog-to-digital converters (ADCs) considering the formidable challenge of sampling the signal at the Nyquist rate eventually increasing transceiver design complexity. The Compressed sensing (CS) framework enables the successful reconstruction of sparse signals from a small set of projections onto a random vector which would lead to sub-Nyquist rate sampling. In this paper, THz band channel estimation based on the theory of CS is developed. The proposed approach exploits the fact that transmitting an ultrashort pulse through a multipath THz channel leads to a received THz signal that can be approximated by a linear combination of a few atoms from a predefined dictionary, yielding thus a sparse representation of the received signal. The fundamental idea is in the design of the dictionary of atoms that closely matches the transmitted pulse leading thus to a higher probability of CS reconstruction. The Orthogonal Matching Pursuit (OMP) algorithm is used to identify the strongest atoms in the projected signal. This reconstructed signal is subsequently used as a reference template in a correlator-based detector. The bit error rate (BER) performance of the proposed detector is analyzed and compared with the conventional CS-based channel estimation and reconstruction approach. Extensive simulations show that, for different design parameters, our proposed detector outperforms the traditional CS-based correlator receiver for the same sampling rate leading thus to a much-reduced use of analog-to-digital resources. Moreover, the proposed detector has been shown to reduce the hardware complexity of the receiver by significantly reducing the number of parallel mixer-integration branches.

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CMOS ADCs Towards 100 GS/s and Beyond

Cited by 8 publications

References 5 publications

Concurrent Multiband Direct RF Sampling Receivers

Concurrent Multiband Direct RF Sampling Receivers

On the Application of Error Backpropagation to the Background Calibration of Time Interleaved ADC for Digital Communication Receivers

Compressed Detection for Pulse‐Based Communications in the Terahertz Band

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