8 research outputs found
Design of Energy-Efficient A/D Converters with Partial Embedded Equalization for High-Speed Wireline Receiver Applications
As the data rates of wireline communication links increases, channel impairments such as skin effect, dielectric loss, fiber dispersion, reflections and cross-talk become more pronounced. This warrants more interest in analog-to-digital converter (ADC)-based serial link receivers, as they allow for more complex and flexible back-end digital signal processing (DSP) relative to binary or mixed-signal receivers. Utilizing this back-end DSP allows for complex digital equalization and more bandwidth-efficient modulation schemes, while also displaying reduced process/voltage/temperature (PVT) sensitivity. Furthermore, these architectures offer straightforward design translation and can directly leverage the area and power scaling offered by new CMOS technology nodes. However, the power consumption of the ADC front-end and subsequent digital signal processing is a major issue. Embedding partial equalization inside the front-end ADC can potentially result in lowering the complexity of back-end DSP and/or decreasing the ADC resolution requirement, which results in a more energy-effcient receiver. This dissertation presents efficient implementations for multi-GS/s time-interleaved ADCs with partial embedded equalization. First prototype details a 6b 1.6GS/s ADC with a novel embedded redundant-cycle 1-tap DFE structure in 90nm CMOS. The other two prototypes explain more complex 6b 10GS/s ADCs with efficiently embedded feed-forward equalization (FFE) and decision feedback equalization (DFE) in 65nm CMOS. Leveraging a time-interleaved successive approximation ADC architecture, new structures for embedded DFE and FFE are proposed with low power/area overhead. Measurement results over FR4 channels verify the effectiveness of proposed embedded equalization schemes. The comparison of fabricated prototypes against state-of-the-art general-purpose ADCs at similar speed/resolution range shows comparable performances, while the proposed architectures include embedded equalization as well
Equalization Architectures for High Speed ADC-Based Serial I/O Receivers
The growth in worldwide network traffic due to the rise of cloud computing and wireless video consumption has required servers and routers to support increased serial I/O data rates over legacy channels with significant frequency-dependent attenuation. For these high-loss channel applications, ADC-based high-speed links are being considered due to their ability to enable powerful digital signal processing (DSP) algorithms for equalization and symbol detection. Relative to mixed-signal equalizers, digital implementations offer robustness to process, voltage and temperature (PVT) variations, are easier to reconfigure, and can leverage CMOS technology scaling in a straight-forward manner. Despite these advantages, ADC-based receivers are generally more complex and have higher power consumption relative to mixed-signal receivers. The ensuing digital equalization can also consume a significant amount of power which is comparable to the ADC contribution. Novel techniques to reduce complexity and improve power efficiency, both for the ADC and the subsequent digital equalization, are necessary.
This dissertation presents efficient modeling and implementation approaches for ADC-based serial I/O receivers. A statistical modeling framework is developed, which is able to capture ADC related errors, including quantization noise, INL/DNL errors and time interleaving mismatch errors. A novel 10GS/s hybrid ADC-based receiver, which combines both embedded and digital equalization, is then presented. Leveraging a time-interleaved asynchronous successive approximation ADC architecture, a new structure for 3-tap embedded FFE inside the ADC with low power/area overhead is used. In addition, a dynamically-enabled digital 4-tap FFE + 3-tap DFE equalizer architecture is introduced, which uses reliable symbol detection to achieve remarkable savings in the digital equalization power. Measurement results over several FR4 channels verify the accuracy of the modeling approach and the effectiveness of the proposed receiver. The comparison of the fabricated prototype against state-of-the-art ADC-based receivers shows the ability of the proposed archi-tecture to compensate for the highest loss channel, while achieving the best power efficiency among other works
Digitally Assisted Multi-Channel Receivers
This work presents a data estimation scheme for wide band multi-channel charge
sampling receivers with sinc filter banks together with a complete system calibration and
synchronization algorithm for the receiver. A unified model has been defined for the
receiver containing all first order mismatches, offsets and imperfections and a technique
based on least mean squares algorithm is employed to track these errors. The performance
of this technique under noisy channel conditions has been verified. The sinc filter bank is
compared with the conventional analog filter banks and it is shown that the sinc filter banks
have very low computational complexity in data estimation
Nextly, analytical tools for the design of clock-jitter tolerant multi-channel filterbank
receivers have been developed. Clock-jitter is one of the most fundamental obstacles
for the future generation of wideband receivers. Additionally all the trade-offs and
specifications of a design example for a multi-channel receiver that can process a 5 GHz
baseband signal with 40 dB of signal-to-noise-ratio (SNR) using sampling clocks that can
tolerate up to 5 ps of clock-jitter standard deviation are presented. A novel bandwidth
optimization technique has been presented. As a part of it the bandwidth of the filters present in each path is optimized thereby improving the performance of the receiver further
in the presence of sampling clock jitter. The amount of bandwidth reduction possible
depends on the order of the filter and the noise amplification provided by the reconstruction
matrix. It has been shown that 3rd order filters of bandwidth 1 GHz can be replaced with 1st
order filters of bandwidth 100 MHz without any depreciation in the output resolution,
implying huge power savings
Recommended from our members
Design Techniques for High-Performance SAR A/D Converters
The design of electronics needs to account for the non-ideal characteristics of the device technologies used to realize practical circuits. This is particularly important in mixed analog-digital design since the best device technologies are very different for digital compared to analog circuits. One solution for this problem is to use a calibration correction approach to remove the errors introduced by devices, but this adds complexity and power dissipation, as well as reducing operation speed, and so must be optimised. This thesis addresses such an approach to improve the performance of certain types of analog-to-digital converter (ADC) used in advanced telecommunications, where speed, accuracy and power dissipation currently limit applications. The thesis specifically focuses on the design of compensation circuits for use in successive approximation register (SAR) ADCs.
ADCs are crucial building blocks in communication systems, in general, and for mobile networks, in particular. The recently launched fifth generation of mobile networks (5G) has required new ADC circuit techniques to meet the higher speed and lower power dissipation requirements for 5G technology. The SAR has become one of the most favoured architectures for designing high-performance ADCs, but the successive nature of the circuit operation makes it difficult to reach ∼GS/s sampling rates at reasonable power consumption.
Here, two calibration techniques for high-performance SAR ADCs are presented. The first uses an on-chip stochastic-based mismatch calibration technique that is able to accurately compute and compensate for the mismatch of a capacitive DAC in a SAR ADC. The stochastic nature of the proposed calibration method enables determination of the mismatch of the CAPDAC with a resolution much better than that of the DAC. This allows the unit capacitor to scale down to as low as 280aF for a 9-bit DAC. Since the CAP-DAC causes a large part of the overall dynamic power consumption and directly determines both the sizes of the driving and sampling switches and the size of the input capacitive load of the ADC and the kT/C noise power, a small CAP-DAC helps the power efficiency. To validate the proposed calibration idea, a 10-bit asynchronous SAR ADC was fabricated in 28-nm CMOS. Measurement results show that the proposed stochastic calibration improves the ADC’s SFDR and SNDR by 14.9 dB, 11.5 dB, respectively. After calibration, the fabricated SAR ADC achieves an ENOB of 9.14 bit at a sampling rate of 85 MS/s, resulting in a Walden FoM of 10.9 fJ/c-s.
The second calibration technique is a timing-skew calibration for a time-interleaved (TI) SAR ADC that calibrates/computes the inter-channel timing and offset mismatch simultaneously. Simulation results show the effectiveness of this calibration method. When used together, the proposed mismatch calibration technique and the timing-skew
calibration technique enables a TI SAR ADC to be designed that can achieve a sampling rate of ∼GS/s with 10-bit resolution and a power consumption as low as ∼10mW; specifications that satisfy the requirements of 5G technology
Compensation numérique pour convertisseur large bande hautement parallélisé.
Time-interleaved analog-to-digital converters (TIADC) seem to be the holy grail of analog-to-digital conversion. Theoretically, their sampling speed can be increased, very simply, by duplicating the sub-converters. The real world is different because mismatches between the converters strongly reduce the TIADC performance, especially when trying to push forward the sampling speed, or the resolution of the converter. Using background digital mismatch calibration can alleviate this limitation. The first part of the thesis is dedicated to studying the sources and effects of mismatches in a TIADC. Performance metrics such as the SNDR and the SFDR are derived as a function of the mismatch levels. In the second part, new background digital mismatch calibration techniques are presented. They are able to reduce the offset, gain, skew and bandwidth mismatch errors. The mismatches are estimated by using the statistical properties of the input signal and digital filters are used to reconstruct the correct output samples. In the third part, a 1.6 GS/s TIADC circuit, implementing offset, gain and skew mismatch calibration, demonstrates a reduction of the mismatch spurs down to a level of -70 dBFS, up to an input frequency of 750 MHz. The circuit achieves the lowest level of mismatches among TIADCs in the same frequency range, with a reasonable power and area, in spite of the overhead caused by the calibration.Les convertisseurs analogique-numérique à entrelacement temporel (TIADC) semblent être une solution prometteuse dans le monde de la conversion analogique-numérique. Leur fréquence d’échantillonnage peut théoriquement être augmentée en augmentant le nombre de convertisseurs en parallèle. En réalité, des désappariements entre les convertisseurs peuvent fortement dégrader les performances, particulièrement à haute fréquence d’échantillonnage ou à haute résolution. Ces défauts d’appariement peuvent être réduits en utilisant des techniques de calibration en arrière-plan. La première partie de cette thèse est consacrée à l’étude des sources et effets des différents types de désappariements dans un TIADC. Des indicateurs de performance tels que le SNDR ou la SFDR sont exprimés en fonction du niveau des désappariements. Dans la deuxième partie, des nouvelles techniques de calibration sont proposées. Ces techniques permettent de réduire les effets des désappariements d’offset, de gain, d’instant d’échantillonnage et de bande passante. Les désappariements sont estimés en se basant sur des propriétés statistiques du signal et la reconstruction des échantillons de sortie se fait en utilisant des filtres numériques. La troisième partie démontre les performance d’un TIADC fonctionnant a une fréquence d’échantillonnage de 1.6 GE/s et comprenant les calibration d’offset, de gain et d’instant d’échantillonnage proposées. Les raies fréquentielles dues aux désappariements sont réduites à un niveau de -70dBc jusqu’à une fréquence d’entrée de 750 MHz. Ce circuit démontre une meilleure correction de désappariements que des circuits similaires récemment publiés, et ce avec une augmentation de puissance consommée et de surface relativement faible
CMOS SPAD-based image sensor for single photon counting and time of flight imaging
The facility to capture the arrival of a single photon, is the fundamental limit to the detection of quantised
electromagnetic radiation. An image sensor capable of capturing a picture with this ultimate optical and
temporal precision is the pinnacle of photo-sensing. The creation of high spatial resolution, single photon
sensitive, and time-resolved image sensors in complementary metal oxide semiconductor (CMOS) technology
offers numerous benefits in a wide field of applications. These CMOS devices will be suitable to replace high
sensitivity charge-coupled device (CCD) technology (electron-multiplied or electron bombarded) with
significantly lower cost and comparable performance in low light or high speed scenarios. For example, with
temporal resolution in the order of nano and picoseconds, detailed three-dimensional (3D) pictures can be
formed by measuring the time of flight (TOF) of a light pulse. High frame rate imaging of single photons can
yield new capabilities in super-resolution microscopy. Also, the imaging of quantum effects such as the
entanglement of photons may be realised.
The goal of this research project is the development of such an image sensor by exploiting single photon
avalanche diodes (SPAD) in advanced imaging-specific 130nm front side illuminated (FSI) CMOS technology.
SPADs have three key combined advantages over other imaging technologies: single photon sensitivity,
picosecond temporal resolution and the facility to be integrated in standard CMOS technology. Analogue
techniques are employed to create an efficient and compact imager that is scalable to mega-pixel arrays. A
SPAD-based image sensor is described with 320 by 240 pixels at a pitch of 8μm and an optical efficiency or
fill-factor of 26.8%. Each pixel comprises a SPAD with a hybrid analogue counting and memory circuit that
makes novel use of a low-power charge transfer amplifier. Global shutter single photon counting images are
captured. These exhibit photon shot noise limited statistics with unprecedented low input-referred noise at an
equivalent of 0.06 electrons.
The CMOS image sensor (CIS) trends of shrinking pixels, increasing array sizes, decreasing read noise, fast
readout and oversampled image formation are projected towards the formation of binary single photon imagers
or quanta image sensors (QIS). In a binary digital image capture mode, the image sensor offers a look-ahead to
the properties and performance of future QISs with 20,000 binary frames per second readout with a bit error
rate of 1.7 x 10-3. The bit density, or cumulative binary intensity, against exposure performance of this image
sensor is in the shape of the famous Hurter and Driffield densitometry curves of photographic film.
Oversampled time-gated binary image capture is demonstrated, capturing 3D TOF images with 3.8cm
precision in a 60cm range