Accuracy enhancement techniques in low-voltage high-speed pipelined ADC design

Pipelined analog to digital converters (ADCs) are very important building blocks in many electronic systems such as high quality video systems, high performance digital communication systems and high speed data acquisition systems. The rapid development of these applications is driving the design of pipeline ADCs towards higher speed, higher dynamic range, lower power consumption and lower power supply voltage with the CMOS technology scaling. This trend poses great challenges to conventional pipelined ADC designs which rely on high-gain operational amplifiers (opamps) and well matched capacitors to achieve high accuracy. In this thesis, two novel accuracy improvement techniques to overcome the accuracy limit set by analog building blocks (opamps and capacitors) in the context of low-voltage and high-speed pipelined ADC design are presented. One is the time-shifted correlated double sampling (CDS) technique which addresses the finite opamp gain effect and the other is the radix-based background digital calibration technique which can take care of both finite opamp gain and capacitor mismatch. These methods are simple, easy to implement and power efficient. The effectiveness of the proposed techniques is demonstrated in simulation as well as in experiment. Two prototype ADCs have been designed and fabricated in 0.18μm CMOS technology as the experimental verification of the proposed techniques. The first ADC is a 1.8V 10-bit pipeline ADC which incorporated the time-shifted CDS technique to boost the effective gain of the amplifiers. Much better gain-bandwidth tradeoff in amplifier design is achieved with this gain boosting. Measurement results show total power consumption of 67mW at 1.8V when operating at 100MSPS. The SNR, SNDR and SFDR are 55dB, 54dB and 65dB respectively given a 1MHz input signal. The second one is a 0.9V 12-bit two-stage cyclic ADC which employed a novel correlation-based background calibration to enhance the linearity. The linearity limit set by the capacitor mismatches, finite opamp gain effects is exceeded. After calibration, the SFDR is improved by about 33dB and exceeds 80dB. The power consumption is 12mW from 0.9V supply when operating at 2MSPS

Low Noise, Jitter Tolerant Continuous-Time Sigma-Delta Modulator

The demand for higher data rates in receivers with carrier aggregation (CA) such as LTE, increases the efforts to integrate large number of wireless services into single receiving path, so it needs to digitize the signal in intermediate or high frequencies. It relaxes most of the front-end blocks but makes the design of ADC very challenging. Solving the bottleneck associated with ADC in receiver architecture is a major focus of many ongoing researches. Recently, continuous time Sigma-Delta analog-to-digital converters (ADCs) are getting more attention due to their inherent filtering properties, lower power consumption and wider input bandwidth. But, it suffers from several non-idealities such as clock jitter and ELD which decrease the ADC performance. This dissertation presents two projects that address CT-ΣΔ modulator non-idealities. One of the projects is a CT- ΣΔ modulator with 10.9 Effective Number of Bits (ENOB) with Gradient Descent (GD) based calibration technique. The GD algorithm is used to extract loop gain transfer function coefficients. A quantization noise reduction technique is then employed to improve the Signal to Quantization Noise Ratio (SQNR) of the modulator using a 7-bit embedded quantizer. An analog fast path feedback topology is proposed which uses an analog differentiator in order to compensate excess loop delay. This approach relaxes the requirements of the amplifier placed in front of the quantizer. The modulator is implemented using a third order loop filter with a feed-forward compensation paths and a 3-bit quantizer in the feedback loop. In order to save power and improve loop linearity a two-stage class-AB amplifier is developed. The prototype modulator is implemented in 0.13μm CMOS technology, which achieves peak Signal to Noise and Distortion Ratio (SNDR) of 67.5dB while consuming total power of 8.5-mW under a 1.2V supply with an over sampling ratio of 10 at 300MHz sampling frequency. The prototype achieves Walden's Figure of Merit (FoM) of 146fJ/step. The second project addresses clock jitter non-ideality in Continuous Time Sigma Delta modulators (CT- ΣΔM), the modulator suffer from performance degradation due to uncertainty in timing of clock at digital-to-analog converter (DAC). This thesis proposes to split the loop filter into two parts, analog and digital part to reduce the sensitivity of feedback DAC to clock jitter. By using the digital first-order filter after the quantizer, the effect of clock jitter is reduced without changing signal transfer function (STF). On the other hand, as one pole of the loop filter is implemented digitally, the power and area are reduced by minimizing active analog elements. Moreover, having more digital blocks in the loop of CT- ΣΔM makes it less sensitive to process, voltage, and temperature variations. We also propose the use of a single DAC with a current divider to implement feedback coefficients instead of two DACs to decrease area and clock routing. The prototype is implemented in TSMC 40 nm technology and occupies 0.06 mm^2 area; the proposed solution consumes 6.9 mW, and operates at 500 MS/s. In a 10 MHz bandwidth, the measured dynamic range (DR), peak signal-to-noise-ratio (SNR), and peak signal-to-noise and distortion (SNDR) ratios in presence of 4.5 ps RMS clock jitter (0.22% clock period) are 75 dB, 68 dB, and 67 dB, respectively. The proposed structure is 10 dB more tolerant to clock jitter when compared to the conventional ΣΔM design for similar loop filter

Epälineaarinen vääristymä laajakaistaisissa analogia-digitaalimuuntimissa

This thesis discusses nonlinearities of analog-to-digital converters (ADCs) and their mitigation using digital signal processing (DSP). Particularly wideband radio receivers are considered here including, e.g., the emerging cognitive radio applications. In this kind of receivers, a single ADC converts a mixture of signals at different frequency bands to digital domain simultaneously. Different signals may have considerably different power levels and hence the overall dynamic range can be very large (even 50–60 dB). Therefore, even the smallest ADC nonlinearities can produce considerable amount of nonlinear distortion, which may cause a strong signal to block significantly weaker signal bands. One concrete source of nonlinear distortion is waveform clipping due to improper signal conditioning in the input of an ADC. In the thesis, a mathematical model for this phenomenon is derived through Fourier analysis and is then used as a basis for an adaptive interference cancellation (AIC) method. This is a general method for reducing nonlinear distortion and besides clipping it can be used, e.g., to compensate integral nonlinearity (INL) originating from unintentional deviations of the quantization levels. Additionally, an interpolation method is proposed in this thesis to restore clipped waveforms and hence reduce nonlinear distortion. Through several computer simulations and corresponding laboratory radio signal measurements, the performance of the proposed post-processing methods is illustrated. It can be seen from the results that the methods are able to reduce nonlinear distortion from a weak signal band in a considerable manner when there are strong blocking signals in the neighboring channels. According to the results, the AIC method would be a highly recommendable post-processing technique for modern radio receivers due to its general ability to reduce nonlinear distortion regardless of its source. /Kir10Tässä työssä käsitellään analogia-digitaalimuuntimien (AD-muuntimien) epälineaarisuuksia ja niiden lieventämistä digitaalisen signaalinkäsittelyn (DSP) avulla. Tätä on tarkasteltu erityisesti laajakaistaisten radiovastaanottimien näkökulmasta, joka käsittää mm. tulevat kognitiiviseen radioon liittyvät sovellukset. Tällaisissa vastaanottimissa yksittäinen AD-muunnin muuntaa samanaikaisesti useita eri taajuuskaistoilla olevia signaaleita digitaaliseen muotoon, jolloin yhteenlaskettu dynaaminen alue voi olla hyvin suuri (jopa 50–60 dB). Tämän takia AD-muuntimen pienimmätkin epälineaarisuudet voivat aiheuttaa huomattavasti epälineaarista vääristymää, minkä vuoksi voimakas signaali saattaa häiriöllään peittää muilla taajuuskaistoilla olevia selkeästi heikompia signaaleja. Eräs konkreettinen epälineaarisen vääristymän aiheuttaja on aaltomuodon leikkaantuminen AD-muuntimen sisäänmenossa jännitealueen ylittymisen vuoksi. Tässä työssä johdetaan matemaattinen malli kyseiselle ilmiölle Fourier-analyysin avulla ja käytetään sitä lähtökohtana adaptiiviselle häiriönpoistomenetelmälle (AIC-menetelmä). Se on yleisluonteinen menetelmä epälineaarisen vääristymän vähentämiseksi, ja leikkaantumisen lisäksi sitä voidaan käyttää esimerkiksi kompensoimaan integraalista epälineaarisuutta (INL), joka on peräisin kvantisointitasojen tahattomista poikkeamista. Lisäksi tässä työssä esitellään interpolointimenetelmä leikkaantuneen aaltomuodon ehostamiseen siten, että epälineaarinen häiriö vähenee. Esiteltyjen jälkikäsittelymenetelmien suorituskykyä analysoidaan ja havainnollistetaan useilla tietokonesimulaatiolla sekä niitä vastaavilla radiosignaalien laboratoriomittauksilla. Tuloksista voidaan nähdä, että nämä menetelmät kykenevät poistamaan huomattavasti epälineaarista vääristymää heikolta signaalikaistalta silloin, kun naapurikaistoilla on voimakkaita häiriösignaaleja. Tulosten perusteella AIC-menetelmä olisi erittäin suositeltava jälkikäsittelytekniikka moderneihin radiovastaanottimiin, koska se pystyy yleisesti vähentämään epälineaarista vääristymää riippumatta häiriön alkuperästä

Study of substrate noise and techniques for minimization

Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2003.Includes bibliographical references (p. 155-158).This thesis presents a study of the effects of substrate noise on analog circuits in mixed-signal chips and techniques for minimizing these harmful effects on sensitive analog circuits. A microchip built in a 0.25um CMOS epitaxial process was designed, fabricated, and tested for this research. Through the use of an on-chip sampling scope, the effect of substrate noise generated by digital inverters with coupling capacitors to the substrate on analog circuits was characterized. Substrate noise coupled into a representative analog circuit, a switched capacitor delta-sigma modulator primarily through the asymmetrical parasitics of the input sampling circuit. Furthermore, since some of the parasitics are nonlinear with input voltage, substrate noise couples into the analog circuits producing an input signal dependent component and an input signal independent component. The substrate noise, with decay time constants of a few nanoseconds and ringing frequencies of few hundred megahertz, can decrease analog circuit performance. In the case of a delta-sigma modulator, substrate noise caused the signal to noise power ratio to decrease by more than 18dB, 3 bits in terms of analog-to-digital converter metrics. In addition, two techniques of minimizing the substrate noise and its effects were explored. The first used a replica delta-sigma modulator on the same chip to subtract the effects of substrate noise from the original delta-sigma modulator. This method proved useful for removing input signal independent substrate noise, but not input signal dependent substrate noise which dominates in-band noise for large input signal magnitudes. The second technique involved an active substrate noise cancellation system.(cont.) A discrete time feedback loop senses the substrate noise, processes it through a filter, and uses an array of digital inverters to cancel the substrate noise. The principal advantages of this technique are the shaping of substrate noise through a designed filter without a significant power penalty and design independence from the analog and digital components. Measured data shows that this technique is capable of over 20dB reduction in substrate noise on the substrate voltage itself. Measured data also shows over 10dB improvement in SNDR of the delta-sigma modulator in certain cases.by Mark Shane Peng.Ph.D

Low power design techniques for analog-to-digital converters in submicron CMOS

Advances in process technologies have led to the development of low-power high speed digital signal processing blocks that occupy small areas. These advances are critical in the development of portable electronic devices with small feature size and long battery life. However, the design of analog and mixed-signal building blocks, especially analog-to-digital converters (ADCs), becomes complex and power-inefficient with each advance in process node. This is because of decreased headroom and low intrinsic gain. In this thesis, circuit techniques that enable the design of low-complexity power-efficient ADCs in submicron CMOS are introduced. The techniques include improved correlated level shifting that allow the use of simple low gain amplifiers to realize high performance pipelined and delta-sigma ADCs. Also included is an investigation of the possibility of replacing the power-hungry amplifier in integrators, used in delta-sigma modulators, with low power zero-crossing-based ones. Simulation results of a correlated level shifting pipelined ADC and measurement results of a fabricated prototype of a zero-crossing-based delta-sigma ADC are employed to discuss the effectiveness of the techniques in achieving compact low-power designs

Integrated Electronics for Wireless Imaging Microsystems with CMUT Arrays

Integration of transducer arrays with interface electronics in the form of single-chip CMUT-on-CMOS has emerged into the field of medical ultrasound imaging and is transforming this field. It has already been used in several commercial products such as handheld full-body imagers and it is being implemented by commercial and academic groups for Intravascular Ultrasound and Intracardiac Echocardiography. However, large attenuation of ultrasonic waves transmitted through the skull has prevented ultrasound imaging of the brain. This research is a prime step toward implantable wireless microsystems that use ultrasound to image the brain by bypassing the skull. These microsystems offer autonomous scanning (beam steering and focusing) of the brain and transferring data out of the brain for further processing and image reconstruction. The objective of the presented research is to develop building blocks of an integrated electronics architecture for CMUT based wireless ultrasound imaging systems while providing a fundamental study on interfacing CMUT arrays with their associated integrated electronics in terms of electrical power transfer and acoustic reflection which would potentially lead to more efficient and high-performance systems. A fully wireless architecture for ultrasound imaging is demonstrated for the first time. An on-chip programmable transmit (TX) beamformer enables phased array focusing and steering of ultrasound waves in the transmit mode while its on-chip bandpass noise shaping digitizer followed by an ultra-wideband (UWB) uplink transmitter minimizes the effect of path loss on the transmitted image data out of the brain. A single-chip application-specific integrated circuit (ASIC) is de- signed to realize the wireless architecture and interface with array elements, each of which includes a transceiver (TRX) front-end with a high-voltage (HV) pulser, a high-voltage T/R switch, and a low-noise amplifier (LNA). Novel design techniques are implemented in the system to enhance the performance of its building blocks. Apart from imaging capability, the implantable wireless microsystems can include a pressure sensing readout to measure intracranial pressure. To do so, a power-efficient readout for pressure sensing is presented. It uses pseudo-pseudo differential readout topology to cut down the static power consumption of the sensor for further power savings in wireless microsystems. In addition, the effect of matching and electrical termination on CMUT array elements is explored leading to new interface structures to improve bandwidth and sensitivity of CMUT arrays in different operation regions. Comprehensive analysis, modeling, and simulation methodologies are presented for further investigation.Ph.D

Design of Power/Analog/Digital Systems Through Mixed-Level Simulations

In recent years the development of the applications in the field of telecommunications, data processing, control, renewable energy generation, consumer and automotive electronics determined the need for increasingly complex systems, also in shorter time to meet the growing market demand. The increasing complexity is mainly due to the mixed nature of these systems that must be developed to accommodate the new functionalities and to satisfy the more stringent performance requirements of the emerging applications. This means a more complex design and verification process. The key to managing the increased design complexity is a structured and integrated design methodology which allows the sharing of different circuit implementations that can be at transistor level and/or at a higher level (i.e.HDL languages).In order to expedite the mixed systems design process it is necessary to provide: an integrated design methodology; a suitable supporting tool able to manage the entire design process and design complexity and its successive verification.It is essential that the different system blocks (power, analog, digital), described at different level of abstraction, can be co-simulated in the same design context. This capability is referred to as mixed-level simulation.One of the objectives of this research is to design a mixed system application referred to the control of a coupled step-up dc-dc converter. This latter consists of a power stage designed at transistor-level, also including accurate power device models, and the analog controller implemented using VerilogA modules. Digital controllers are becoming very attractive in dc-dc converters for their programmability, ability to implement sophisticated control schemes, and ease of integration with other digital systems. Thus, in this dissertation it will be presented a detailed design of a Flash Analog-to-Digital Converter (ADC). The designed ADC provides medium-high resolution associated to high-speed performance. This makes it useful not only for the control application aforementioned but also for applications with huge requirements in terms of speed and signal bandwidth. The entire design flow of the overall system has been conducted in the Cadence Design Environment that also provides the ability to mixed-level simulations. Furthermore, the technology process used for the ADC design is the IHP BiCMOS 0.25 µm by using 50 GHz NPN HBT devices