Concepts for smart AD and DA converters

This thesis studies the `smart' concept for application to analog-to-digital and digital-to-analog converters. The smart concept aims at improving performance - in a wide sense - of AD/DA converters by adding on-chip intelligence to extract imperfections and to correct for them. As the smart concept can correct for certain imperfections, it can also enable the use of more efficient architectures, thus yielding an additional performance boost. Chapter 2 studies trends and expectations in converter design with respect to applications, circuit design and technology evolution. Problems and opportunities are identfied, and an overview of performance criteria is given. Chapter 3 introduces the smart concept that takes advantage of the expected opportunities (described in chapter 2) in order to solve the anticipated problems. Chapter 4 applies the smart concept to digital-to-analog converters. In the discussed example, the concept is applied to reduce the area of the analog core of a current-steering DAC. It is shown that a sub-binary variable-radix approach reduces the area of the current-source elements substantially (10x compared to state-of-the-art), while maintaining accuracy by a self-measurement and digital pre-correction scheme. Chapter 5 describes the chip implementation of the sub-binary variable-radix DAC and discusses the experimental results. The results confirm that the sub-binary variable-radix design can achieve the smallest published current-source-array area for the given accuracy (12bit). Chapter 6 applies the smart concept to analog-to-digital converters, with as main goal the improvement of the overall performance in terms of a widely used figure-of-merit. Open-loop circuitry and time interleaving are shown to be key to achieve high-speed low-power solutions. It is suggested to apply a smart approach to reduce the effect of the imperfections, unintentionally caused by these key factors. On high-level, a global picture of the smart solution is proposed that can solve the problems while still maintaining power-efficiency. Chapter 7 deals with the design of a 500MSps open-loop track-and-hold circuit. This circuit is used as a test case to demonstrate the proposed smart approaches. Experimental results are presented and compared against prior art. Though there are several limitations in the design and the measurement setup, the measured performance is comparable to existing state-of-the-art. Chapter 8 introduces the first calibration method that counteracts the accuracy issues of the open-loop track-and-hold. A description of the method is given, and the implementation of the detection algorithm and correction circuitry is discussed. The chapter concludes with experimental measurement results. Chapter 9 introduces the second calibration method that targets the accuracy issues of time-interleaved circuits, in this case a 2-channel version of the implemented track-and-hold. The detection method, processing algorithm and correction circuitry are analyzed and their implementation is explained. Experimental results verify the usefulness of the method

Design techniques for wideband low-power Delta-Sigma analog-to-digital converters

Delta-Sigma (ΔΣ) analog-to-digital converters (ADCs) are traditionally used in high quality audio systems, instrumentation and measurement (I&M) and biomedical devices. With the continued downscaling of CMOS technology, they are becoming popular in wideband applications such as wireless and wired communication systems,high-definition television and radar systems. There are two general realizations of a ΔΣ modulator. One is based on the discrete-time (DT) switched-capacitor (SC) circuitry and the other employs continuous-time (CT) circuitry. Compared to a CT structure, the DT ΔΣ ADC is easier to analyze and design, is more robust to process variations and jitter noise, and is more flexible in the multi-mode applications. On the other hand, the CT ΔΣ ADC does not suffer from the strict settling accuracy requirement for the loop filter and thus can achieve lower power dissipation and higher sampling frequency than its DT counterpart. In this thesis, both DT and CT ΔΣ ADCs are investigated. Several design innovations, in both system-level and circuit-level, are proposed to achieve lower power consumption and wider signal bandwidth. For DT ΔΣ ADCs, a new dynamic-biasing scheme is proposed to reduce opamp bias current and the associated signal-dependent harmonic distortion is minimized by using the low-distortion architecture. The technique was verified in a 2.5MHz BW and 13bit dynamic range DT ΔΣ ADC. In addition, a second-order noise coupling technique is presented to save two integrators for the loop filter, and to achieve low power dissipation. Also, a direct-charge-transfer (DCT) technique is suggested to reduce the speed requirements of the adder, which is also preferable in wideband low-power applications. For CT ΔΣ ADCs, a wideband low power CT 2-2 MASH has been designed. High linearity performance was achieved by using a modified low-distortion technique, and the modulator achieves higher noise-shaping ability than the single stage structure due to the inter-stage gain. Also, the quantization noise leakage due to analog circuit non-idealities can be adaptively compensated by a designed digital calibration filter. Using a 90nm process, simulation of the modulator predicts a 12bit resolution within 20MHz BW and consumes only 25mW for analog circuitry. In addition, the noise-coupling technique is investigated and proposed for the design of CT ΔΣ ADCs and it is promising to achieve low power dissipation for wideband applications. Finally, the application of noise-coupling technique is extended and introduced to high-accuracy incremental data converters. Low power dissipation can be expected

High-performance delta-sigma analog-to-digital converters

Multi-stage delta-sigma (ΔΣ) architectures, commonly known as MASH, are the preferred choice for analog-to-digital converters (ADCs) used in broadband communication applications, where high-resolution (above 14 bits) and high-bandwidth (several MHz) performances are required. Current state-of-the-art designs are capable of as much as 5-MS/s output data rates with 90-dB SNR. However, inherent limitations in this type of converters have been addressed by the use of high-quality analog circuit components, making designs more complex, less robust, and higher performances difficult to achieve. This thesis describes the problems of extending bandwidth without losing accuracy in ΔΣ A/D converters, and presents three techniques which can overcome these problems: a low-distortion analog signal processing technique, the digital adaptive correction of analog circuit imperfections, and the fully digital estimation and correction of DAC errors. Combined, these techniques have the potential to achieve high-speed, high-resolution wideband ΔΣ conversion, even with low-performance analog components. The presented techniques were combined in a prototype chip, designed and fabricated in a 0.18 μm CMOS process. Simulation and preliminary measurement results show that they are highly effective

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

Dynamic Pressure Sensing for the Flight Test Data System

This thesis describes the design, assembly, and test of the FTDS-K, a new device in the Boundary Layer Data System (BLDS) family of flight data acquisition systems. The FTDS-K provides high-frequency, high-gain data acquisition capability for up to two pressure sensors and an additional three low-frequency pressure sensors. Development of the FTDS-K was separated into a core module, specialized analog subsystem, and practical testing of the FTDS-K in a flow measurement mission. The core module combines an nRF52840-based microcontroller module, switching regulator, microSD card, real-time clock, temperature sensor, and trio of pressure sensors to provide the same capabilities as previous-generation BLDS-P devices. An expansion header is included in the core module to allow additional functionality to be added via daughter boards. An analog signal chain comprised of two-stage amplification and fourth-order active antialiasing filters was implemented as a daughter board to provide an AC-coupled end-to-end gain of 7,500 and a DC-coupled end-to-end gain of 50. This arrangement was tested in a wind tunnel to demonstrate that sensors with a full-scale range of 103 kPa can be used to reliably discriminate between laminar and turbulent flows based on pressure fluctuation differences on the order of tens of Pa. A combination of wind-off correction and band-filtering was used to reduce the effect of inherent and induced electrical noise, while two-sensor correlation was tested and shown to be effective at removing certain types of noise. Total power consumption for the FTDS-K in a representative mission is 208 mW, which translates to an operational endurance of 9 hours with 2 AAA LiFeS2 cells at -40°C

High efficiency delta-sigma modulation data converters

Enabled by continued device scaling in CMOS technology, more and more functions that were previously realized in separate chips are getting integrated on a single chip nowadays. Integration on silicon has opened the door to new portable wireless applications, and initiated a widespread use of these devices in our common everyday life. Wide signal bandwidth, high linearity and dynamic range, and low power dissipation are required of embedded data converters that are the performance-limiting key building blocks of those systems. Thus, power-efficient and highly-linear data conversion over wide range of signal bands is essential to get the full benefits from device scaling. This continued trend keeps innovation in the design of data converter continuing. Traditionally, delta-sigma modulation data converters proved to be very effective in applications where high resolution was necessary in a relatively narrow signal band. There have been active research efforts across academia and industry on the extension of achievable signal bandwidth without compromising the performance of these data converters. In this dissertation, architectural innovations, combined with effective design techniques for delta-sigma modulation data converters, are presented to overcome the associated limitations. The effectiveness of the proposed approaches is demonstrated by test results for the following state-of-the-art prototype designs: (1) a 0.8 V, 2.6 mW, 88 dB dual-channel audio delta-sigma modulation D/A converter with headphone driver; (2) an 88 dB ring-coupled delta-sigma ADC with 1.9 MHz bandwidth and -102.4 dB THD; (3) a multi-cell noise-coupled delta-sigma ADC with 1.9 MHz bandwidth, 88 dB DR, and -98 dB THD; (4) an 8.1 mW, 82 dB self-coupled delta-sigma ADC with 1.9 MHz bandwidth and -97 dB THD; (5) a noise-coupled time-interleaved delta-sigma ADC with 4.2 MHz bandwidth, -98 dB THD, and 79 dB SNDR; (6) a noise-coupled time-interleaved delta-sigma ADC with 2.5 MHz bandwidth, -104 dB THD, and 81 dB SNDR. As an extension of this research, two novel architectures for efficient double-sampling delta-sigma ADCs and improved low-distortion delta-sigma ADC are proposed, and validated by extensive simulations.Keywords: improved low-distortion modulator, time interleaving, data converter, multi-cell ADC, efficient double sampling, noise coupling, delta-sigma modulatio