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

Multibit delta sigma modulator with noise shaping dynamic element matching

Ph.DDOCTOR OF PHILOSOPH

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

Digital enhancement techniques for data converters in scaled CMOS technologies

This thesis presents digital enhancement techniques for data converters in advanced technology nodes. With technology scaling, traditional voltage-domain (VD) analog-to-digital converters (ADCs) face two major challenges: (1) reduction of dynamic range due to supply voltage scaling, and (2) decrease in intrinsic gain of transistors which makes high gain amplifier design tough. To address these challenges, a two-stage ADC architecture is presented which uses time-domain quantization to exploit the advantages of technology scaling. The architecture, consisting of a first stage successive approximation register (SAR) and a second stage ring oscillator, is highly digital and scaling friendly. Two prototypes have been developed to validate the proposed architecture. The 40nm CMOS prototype achieves 75.7 dB dynamic range at an excellent Schreier figure-of-merit of 172.2 dB. The proposed architecture has been extended to a capacitance-to-digital converter and a prototype has been developed in 40nm CMOS. The prototype can sense capacitances with a resolution of 1.3fF and has a Walden figure-of-merit of 60 fJ/step which is more than two times better than the current state-of-the-art. This thesis also presents digital techniques to improve performance of continuous-time(CT), delta-sigma digital-to-analog converters (DACs). Recently, CT delta-sigma DACs have received more attention than their discrete, switched-capacitor counterpart mainly because of low power and/or higher speed of operation. However, a critical disadvantage of CT, delta-sigma DACs is their greatly increased sensitivity to inter-symbol interference (ISI) error. To address this shortcoming of CT DACs, this thesis presents several algorithms that can mitigate ISI error simultaneously with static mismatch error. Further, the proposed algorithms are fully digital in nature and as such, are best poised to take maximum advantage of technology scaling. Thus, the techniques presented in this thesis will be important enabling factors in raising the envelope of performance of CT delta-sigma DACs in advanced technology nodes.Electrical and Computer Engineerin

Enhanced-accuracy oversampled data converters

Digital-to-analog converters (DACs) suffer from static and dynamic nonlinearity problems, which degrade their accuracy and performance. Mismatch errors in the analog components restrict the maximum achievable linearity. This thesis presents various techniques for correcting these errors. It describes a correction process for the nonlinear behavior of DACs, on three different levels: architectural design, circuit design, and layout design. The main results achieved are listed below: • Novel topologies using stochastic approaches to linearize multibit converters are presented. • A new method is introduced for avoiding the use of multibit DACs in the main loop of multi-path DS analog-to-digital converters (ADCs), which, combined with a novel noise leakage compensation technique, allows the use of low quality inner DACs. • A novel correction algorithm is proposed, which is based on the acquisition of the individual DAC errors by means of correlation procedures. The extracted values are used for correction purposes. The technique is capable of background operation. • Different circuits are proposed to improve the performance of current-steering DACs. Also, novel layout techniques are shown for reducing the spatial variations of the unit sources. Some of the presented techniques were combined in a prototype chip, designed and fabricated in a 0.35μm CMOS process. Simulation and preliminary measurement results show that they are effective.Keywords: data converters, digital-to-analog, integrated circuits, analog-to-digital, CMO

A 8 mW 72 dB Sigma Delta-modulator ADC with 2.4 MHz BW in 130 nm CMOS

A double-sampling sigma delta-ADC with bilinear integrators and a 7-level quantizer is presented. It achieves third order noise shaping with a second order modulator through quantization noise-coupling. The modulator is integrated in a 130 nm CMOS technology. For a clock frequency of 48 MHz and an oversampling ratio of 20 (2.4 MHz signal bandwidth), it achieves 72 dB DR and 68 dB SNR. The prototype consumes 8 mW from a 1.2 V voltage supply

Design Techniques for Wide-bandwidth Continuous-time Delta-sigma Modulators with Noise-shaping Quantizers

Noise-shaping multibit quantizers in a ΔΣ modulator offer extra orders of noise shaping without increasing the loop-filter order and without compromising the stability of the modulator. This dissertation presents two new architectures for improving the overall performance of continuous-time ΔΣ modulators using noise-shaped quantizers. The first modulator architecture is motivated towards achieving high sampling frequencies using a VCO quantizer. The VCO based quantizer provides the benefits of first-order noise shaping, inherent DWA, and high sampling frequencies but suffers from a highly nonlinear voltage-to-frequency transfer characteristic leading to performance degradation. In this work, a dual-path VCO quantizer nonlinearity cancellation technique is proposed that improves the overall modulator performance by cancelling the VCO quantizer non-linearity. The prototype modulator fabricated in a 65 nm CMOS technology achieves 76.1 dB DR, 73.5 dB SNDR and 88 dB SFDR over a 50 MHz signal bandwidth with an OSR of 15 and 51.8 mW of power. The second modulator architecture, on the other hand, achieves 2nd order noise shaping from the quantizer itself, thus, reducing the needed loop-filter order by two and saving on active RC-OTA based integrator power. This new SAR-VCO based hybrid quantizer solves the VCO quantizer nonlinearity issue and also provides second order noise shaping. By using this SAR-VCO quantizer as an internal quantizer in a 2nd order ΔΣ loop, 4th order noise shaping is achieved using only two OTAs. The pipeline operation of the SAR quantizer and the VCO quantizer makes the delay of the hybrid quantizer equal to the delay of the SAR quantizer only. This reduces the excess-loop-delay introduced by the quantizer when used in a ΔΣ loop. Also, the quantization error leakage due to gain mismatch between the SAR path and the VCO path in the quantizer is noise shaped. The prototype modulator fabricated in a 65 nm CMOS process achieves 83 dB DR, 80 dB SNDR and 84 dB SFDR for a 12 MHz signal bandwidth with an OSR of 25 and 16.5 mW of power

Low-voltage data converters

With the growing demand for portable/consumer electronics, such as digital audio/video (AV), the downscaling of device dimensions, which enables the integration of an increasing number of transistors in a single chip, is mandatory. This trend also continuously pushes the power supply voltage down to reduce the power consumption and improve the reliability of gate dielectrics. While the reduction of power supply voltage is of great benefit to the essential digital blocks in the system like data storage and digital signal processing, it makes it hard to operate the important and indispensable analog building blocks such as data converters and drivers. In this thesis, the novel structures for the low-voltage digital-to-analog converter (DAC) and analog-to-digital converter (ADC) are presented. The research contributions of this work include (1) a sub-1V audio [delta sigma] DAC with one opamp used per channel to implement D/A conversion, 1st-order FIR and 2ndorder IIR filtering, as well as power amplification for the headphone, (2) a sub-1V pipelined ADC with the novel MDAC based on a low-voltage track-and-hold amplifier. Two prototypes, one is a 0.8V, 88dB dual-channel audio [delta sigma] DAC with headphone driver, the other one is a 0.8V, 10-bit, 10MS/s pipelined ADC were fabricated to verify the functionality of the proposed structures in standard CMOS processes