Direct sampling receivers for broadband communications

Today everything tends to be connected in the Internet of Things (IoT) universe, where a broad variety of communication standards and technologies are used for those connected devices. It is always a dream to design a Software-Defined Radio (SDR) supporting different standards solely based on the software configuration. As integrated-circuit (IC) manufacture and design advance, a partial of SDR can be realized. This thesis investigates one of the most important parts in a SDR: the analog design of a direct sampling (DS) receiver, which mainly consists of a broadband RF front end and a wideband ADC. Especially, a DS receiver shows a great flexibility and efficiency for the simultaneous reception of multiple channels comparing with the traditional parallelism of superheterodyne structure. The research contributions of this work include (1) demonstration and comparative analysis of two new architectures of broadband RFPGAs: voltage-mode: RFPGA-V and current-mode: RFPGA-I. RFPGA-V and RFPGA-I utilize an innovative interpolation method and current steering approach, respectively, to achieve a fine gain step of 0.25-dB over 40-dB gain range for several GHz frequency range. Besides, with innovative design, no off-chip inductor is needed for the both RFPGAs. (2) The design of a 5-GS/s 10b time-interleaved SAR. The ADC power efficiency is significantly improved by many design techniques: the low-energy CDAC switching scheme, optimized input common-mode voltage for comparator, optimal reduced radix-2 capacitor ratio for low-power reference buffers and higher conversion speed, etc. The lane-to-lane mismatches in a time-interleave ADC are minimized by using optimal floor plan and then are calibrated digitally. Three prototypes: the broadband RF front ends with RFPGA-V, the broadband RF front ends with RFPGA-I and a 5-GHz ADC, are fabricated to verify the proposed ideas in 28nm CMOS technology.Electrical and Computer Engineerin

Low-power adaptive control scheme using switching activity measurement method for reconfigurable analog-to-digital converters

Power consumption is a critical issue for portable devices. The ever-increasing demand for multimode wireless applications and the growing concerns towards power-aware green technology make dynamically reconfigurable hardware an attractive solution for overcoming the power issue. This is due to its advantages of flexibility, reusability, and adaptability. During the last decade, reconfigurable analog-to-digital converters (ReADCs) have been used to support multimode wireless applications. With the ability to adaptively scale the power consumption according to different operation modes, reconfigurable devices utilise the power supply efficiently. This can prolong battery life and reduce unnecessary heat emission to the environment. However, current adaptive mechanisms for ReADCs rely upon external control signals generated using digital signal processors (DSPs) in the baseband. This thesis aims to provide a single-chip solution for real-time and low-power ReADC implementations that can adaptively change the converter resolution according to signal variations without the need of the baseband processing. Specifically, the thesis focuses on the analysis, design and implementation of a low-power digital controller unit for ReADCs. In this study, the following two important reconfigurability issues are investigated: i) the detection mechanism for an adaptive implementation, and ii) the measure of power and area overheads that are introduced by the adaptive control modules. This thesis outlines four main achievements to address these issues. The first achievement is the development of the switching activity measurement (SWAM) method to detect different signal components based upon the observation of the output of an ADC. The second achievement is a proposed adaptive algorithm for ReADCs to dynamically adjust the resolution depending upon the variations in the input signal. The third achievement is an ASIC implementation of the adaptive control module for ReADCs. The module achieves low reconfiguration overheads in terms of area and power compared with the main analog part of a ReADC. The fourth achievement is the development of a low-power noise detection module using a conventional ADC for signal improvement. Taken together, the findings from this study demonstrate the potential use of switching activity information of an ADC to adaptively control the circuits, and simultaneously expanding the functionality of the ADC in electronic systems

Time interleaved counter analog to digital converters

The work explores extending time interleaving in A/D converters, by applying a high-level of parallelism to one of the slowest and simplest types of data-converters, the counter ADC. The motivation for the work is to realise high-performance re-configurable A/D converters for use in multi-standard and multi-PHY communication receivers with signal bandwidths in the 10s to 100s of MHz. The counter ADC requires only a comparator, a ramp signal, and a digital counter, where the comparator compares the sampled input against all possible quantisation levels sequentially. This work explores arranging counter ADCs in large time-interleaved arrays, building a Time Interleaved Counter (TIC) ADC. The key to realising a TIC ADC is distributed sampling and a global multi-phase ramp generator realised with a novel figure-of-8 rotating resistor ring. Furthermore Counter ADCs allow for re-configurability between effective sampling rate and resolution due to their sequential comparison of reference levels in conversion. A prototype TIC ADC of 128-channels was fabricated and measured in 0.13μm CMOS technology, where the same block can be configured to operate as a 7-bit 1GS/s, 8-bit 500MS/s, or 9-bit 250MS/s dataconverter. The ADC achieves a sub 400fJ/step FOM in all modes of configuration

Voltage and Time-Domain Analog Circuit Techniques for Scaled CMOS Technologies

CMOS technology scaling has resulted in reduced supply voltage and intrinsic voltage gain of the transistor. This presents challenges to the analog circuit designers due to lower signal swing and achievable signal to noise ratio (SNR), leading to increased power consumption. At the same time, device speed has increased in lower design nodes, which has not been directly beneficial for analog circuit design. This thesis presents voltage-domain and time-domain circuit scaling friendly circuit architectures that minimize the power consumption and benefit from the increasing transistor speeds. In the voltage-domain, an on-the-fly gain selection block is demonstrated as an alternative to the traditional MDAC architecture to enhance the input dynamic range of a medium-resolution medium-speed analog-to-digital converter (ADC) at reduced supply voltages. The proposed design also eliminates the need for a reference buffer, thus providing power savings. The measured prototype enhances the input dynamic range of a 12bit, 40MSPS ADC to 80.6dB at 1.2V supply voltage. In the time-domain, a generic circuit design approach is presented, followed by an in-depth analysis of Voltage-Controlled-Oscillator based Operational Transconductance Amplifiers (VCO-OTAs). A discrete-time-domain small-signal model based on the zero crossings of the internal VCOs is developed to predict the stability, the step response, and the frequency response of the circuit when placed in feedback. The model accurately predicts the circuit behavior for an arbitrary input frequency, even as the VCO free-running frequency approaches the unity-gain bandwidth of the closed-loop system, where other intuitive small-signal models available in the literature fail. Next, we present an application of VCO-OTA in designing a baseband trans-impedance amplifier (TIA) for current-mode receivers as a scaling-friendly and power-efficient alternative to the inverter-based OTA. We illustrate a design methodology for the choice of the VCO-OTA parameters in the context of a receiver design with an example of a 20MHz RF-channel-bandwidth receiver operating at 2GHz. Receiver simulation results demonstrate an improvement of up to 12dB in blocker 1dB compression point (B1dB) for slightly higher power consumption or up to 2.6x power reduction of the TIA resulting in up to 2x power reduction of the receiver for similar B1dB performance. Next, we present some examples of VCO-OTAs. We first illustrate the benefit of a VCO-OTA in a low-dropout-voltage regulator to achieve a dropout voltage of only100mV and operating down to 0.8V input supply, compared to the prototype based on traditional OTA with a minimum dropout voltage of 150mV, operating at a minimum of 1.2V supply. Both the capacitor-less prototypes can drive up to 1nF load capacitor and provide a current of 60mA. The next prototype showcases a method to reduce the power consumption of a VCO-OTA and spurs at the VCO frequency, with an application in the design of a fourth-order Butterworth filter at 4MHz. The thesis concludes with a design example of 0.2V VCO-OTA

Digital ADCs and ultra-wideband RF circuits for energy constrained wireless applications by Denis Clarke Daly.

Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2009.Cataloged from PDF version of thesis.Includes bibliographical references (p. 173-183).Ongoing advances in semiconductor technology have enabled a multitude of portable, low power devices like cellular phones and wireless sensors. Most recently, as transistor device geometries reach the nanometer scale, transistor characteristics have changed so dramatically that many traditional circuits and architectures are no longer optimal and/or feasible. As a solution, much research has focused on developing 'highly digital' circuits and architectures that are tolerant of the increased leakage, variation and degraded voltage headrooms associated with advanced CMOS processes. This thesis presents several highly digital, mixed-signal circuits and architectures designed for energy constrained wireless applications. First, as a case study, a highly digital, voltage scalable flash ADC is presented. The flash ADC, implemented in 0.18 [mu]m CMOS, leverages redundancy and calibration to achieve robust operation at supply voltages from 0.2 V to 0.9 V. Next, the thesis expands in scope to describe a pulsed, noncoherent ultra-wideband transceiver chipset, implemented in 90 nm CMOS and operating in the 3-to-5 GHz band. The all-digital transmitter employs capacitive combining and pulse shaping in the power amplifier to meet the FCC spectral mask without any off-chip filters. The noncoherent receiver system-on-chip achieves both energy efficiency and high performance by employing simple amplifier and ADC structures combined with extensive digital calibration. Finally, the transceiver chipset is integrated in a complete system for wireless insect flight control.(cont.) Through the use of a flexible PCB and 3D die stacking, the total weight of the electronics is kept to 1 g, within the carrying capacity of an adult Manduca sexta moth. Preliminary wireless flight control of a moth in a wind tunnel is demonstrated.Ph.D

LOW POWER AND HIGH SIGNAL TO NOISE RATIO BIO-MEDICAL AFE DESIGN TECHNIQUES

The research work described in this thesis was focused on finding novel techniques to implement a low-power and noise Bio-Medical Analog Front End (BMEF) circuit technique to enable high-quality Electrocardiography (ECG) sensing. Usually, an ECG signal and several bio-medical signals are sensed from the human body through a pair of electrodes. The electrical characteristics of the very small amplitude (1u-10mV) signals are corrupted by random noise and have a significant dc offset. 50/60Hz power supply coupling noise is one of the biggest cross-talk signals compared to the thermally generated random noise. These signals are even AFE composed of an Instrumentation Amplifier (IA), which will have a better Common Mode rejection ratio (CMRR). The main function of the AFE is to convert the weak electrical Signal into large signals whose amplitude is large enough for an Analog Digital Converter (ADC) to detect without having any errors. A Variable Gain Amplifier (VGA) is sometimes required to adjust signal amplitude to maintain the dynamic range of the ADC. Also, the Bio-medical transceiver needs an accurate and temperature-independent reference voltage and current for the ADC, commonly known as Bandgap Reference Circuit (BGR). These circuits need to consume as low power as possible to enable these circuits to be powered from the battery. The work started with analysing the existing circuit techniques for the circuits mentioned above and finding the key important improvements required to reach the target specifications. Previously proposed IA is generated based on voltage mode signal processing. To improve the CMRR (119dB), we proposed a current mode-based IA with an embedded DC cancellation technique. State-of-the-art VGA circuits were built based on the degeneration principle of the differential pair, which will enable the variable gain purpose, but none of these techniques discussed linearity improvement, which is very important in modern CMOS technologies. This work enhances the total Harmonic distortion (THD) by 21dB in the worst case by exploiting the feedback techniques around the differential pair. Also, this work proposes a low power curvature compensated bandgap with 2ppm/0C temperature sensitivity while consuming 12.5uW power from a 1.2V dc power supply. All circuits were built in 45nm TSMC-CMOS technology and simulated with all the performance metrics with Cadence (spectre) simulator. The circuit layout was carried out to study post-layout parasitic effect sensitivity

Nonlinear Distortion in Wideband Radio Receivers and Analog-to-Digital Converters: Modeling and Digital Suppression

Emerging wireless communications systems aim to flexible and efficient usage of radio spectrum in order to increase data rates. The ultimate goal in this field is a cognitive radio. It employs spectrum sensing in order to locate spatially and temporally vacant spectrum chunks that can be used for communications. In order to achieve that, flexible and reconfigurable transceivers are needed. A software-defined radio can provide these features by having a highly-integrated wideband transceiver with minimum analog components and mostly relying on digital signal processing. This is also desired from size, cost, and power consumption point of view. However, several challenges arise, from which dynamic range is one of the most important. This is especially true on receiver side where several signals can be received simultaneously through a single receiver chain. In extreme cases the weakest signal can be almost 100 dB weaker than the strongest one. Due to the limited dynamic range of the receiver, the strongest signals may cause nonlinear distortion which deteriorates spectrum sensing capabilities and also reception of the weakest signals. The nonlinearities are stemming from the analog receiver components and also from analog-to-digital converters (ADCs). This is a performance bottleneck in many wideband communications and also radar receivers. The dynamic range challenges are already encountered in current devices, such as in wideband multi-operator receiver scenarios in mobile networks, and the challenges will have even more essential role in the future.This thesis focuses on aforementioned receiver scenarios and contributes to modeling and digital suppression of nonlinear distortion. A behavioral model for direct-conversion receiver nonlinearities is derived and it jointly takes into account RF, mixer, and baseband nonlinearities together with I/Q imbalance. The model is then exploited in suppression of receiver nonlinearities. The considered method is based on adaptive digital post-processing and does not require any analog hardware modification. It is able to extract all the necessary information directly from the received waveform in order to suppress the nonlinear distortion caused by the strongest blocker signals inside the reception band.In addition, the nonlinearities of ADCs are considered. Even if the dynamic range of the analog receiver components is not limiting the performance, ADCs may cause considerable amount of nonlinear distortion. It can originate, e.g., from undeliberate variations of quantization levels. Furthermore, the received waveform may exceed the nominal voltage range of the ADC due to signal power variations. This causes unintentional signal clipping which creates severe nonlinear distortion. In this thesis, a Fourier series based model is derived for the signal clipping caused by ADCs. Furthermore, four different methods are considered for suppressing ADC nonlinearities, especially unintentional signal clipping. The methods exploit polynomial modeling, interpolation, or symbol decisions for suppressing the distortion. The common factor is that all the methods are based on digital post-processing and are able to continuously adapt to variations in the received waveform and in the receiver itself. This is a very important aspect in wideband receivers, especially in cognitive radios, when the flexibility and state-of-the-art performance is required

A 10b SAR ADC with Widely Scalable Sampling Rate and AGC Amplifier Front-End

This paper presents a low power successive approximation register (SAR) ADC and its front-end automatic gain control (AGC) amplifier designed in 65nm CMOS technology. Digitally controlled variable gain amplifier (VGA) in AGC loop is used to maximize the dynamic range. By adding the VGA front-end before the ADC, the dynamic range is improved by 20 dB and 48 dB SNDR is achieved for -40 dBV input signal. The VGA front-end also converts the single ended input signal into differential to be used in a differential SAR ADC design. VGA area is kept smaller by employing floating tunable high-value active resistors instead of passive resistors. The designed 10-bit SAR ADC can operate at a very wide range of sampling rates between 1 kS/s and 85 MS/s by changing the sampling duration from 1 to 3 clock cycles at the higher end of this sampling rate range. By using the programmable sampling duration technique, the maximum sampling rate of the ADC without compromising the SNDR performance is increased from 45 MS/s to 85 MS/s and around 10 dB improvement in SNDR is achieved at 85 MS/s sampling rate. The proposed analog front-end design including SAR ADC and AGC amplifier consumes 200 uW at 83.3 kS/s sampling rate and occupies 0.29mm(2) area

Analytical and computational methods towards a metabolic model of ageing in Caenorhabditis elegans

Human life expectancy is increasing globally. This has major socioeconomic implications, but also raises scientific questions about the biological bases of ageing and longevity. Research on appropriate model organisms, such as the nematode worm Caenorhabditis elegans, is a key component of answering these questions. Ageing is a complex phenomenon, with both environmental and genetic influences. Metabolomics, the analysis of all small molecules within a biological system, offers the ability to integrate these complex factors to help understand the role of metabolism in ageing. This thesis addresses the current lack of methods for C. elegans metabolite analysis, with a particular focus on combining analytical and computational approaches. As a first essential step, C. elegans metabolite extraction protocols for NMR, GC-MS and LC-MS based analysis were optimized. Several methods to improve the coverage, automatic annotation and data analysis steps of NMR and GC-MS are proposed. Next, stable isotope labelling was explored as a tool for C. elegans metabolomics. An automated stable isotope based workflow was developed, which identifies all biological, non-redundant features within a LC-MS acquisition and annotates them with molecular compositions. This demonstrated that the vast majority (> 99.5%) of detected features inside LC-MS metabolomics experiments are not of biological origin or redundant. This stable isotope workflow was then used to compare the metabolism of 24 different C. elegans mutant strains from different pathways (e.g. insulin signalling, TOR pathway, neuronal signalling), with differing levels of lifespan extension compared to wild-type worms. The biologically relevant features (metabolites) were detected and annotated, and compared across the mutants. Some metabolites were correlated with longevity across the mutant set, in particular, glycerophospholipids. This led to the formulation of a hypothesis, that lifespan extension in C. elegans requires increased activity of common downstream longevity effector mechanisms (autophagy, and mitochondrial biogenesis), that also involve subcellular compartmentation and hence membrane formation. This results in the alterations in lipid metabolism detected here.Open Acces