Digital Intensive Mixed Signal Circuits with In-situ Performance Monitors

University of Minnesota Ph.D. dissertation.November 2016. Major: Electrical/Computer Engineering. Advisor: Chris Kim. 1 computer file (PDF); x, 137 pages.Digital intensive circuit design techniques of different mixed-signal systems such as data converters, clock generators, voltage regulators etc. are gaining attention for the implementation of modern microprocessors and system-on-chips (SoCs) in order to fully utilize the benefits of CMOS technology scaling. Moreover different performance improvement schemes, for example, noise reduction, spur cancellation, linearity improvement etc. can be easily performed in digital domain. In addition to that, increasing speed and complexity of modern SoCs necessitate the requirement of in-situ measurement schemes, primarily for high volume testing. In-situ measurements not only obviate the need for expensive measurement equipments and probing techniques, but also reduce the test time significantly when a large number of chips are required to be tested. Several digital intensive circuit design techniques are proposed in this dissertation along with different in-situ performance monitors for a variety of mixed signal systems. First, a novel beat frequency quantization technique is proposed in a two-step VCO quantizer based ADC implementation for direct digital conversion of low amplitude bio- potential signals. By direct conversion, it alleviates the requirement of the area and power consuming analog-frontend (AFE) used in a conventional ADC designs. This prototype design is realized in a 65nm CMOS technology. Measured SNDR is 44.5dB from a 10mVpp, 300Hz signal and power consumption is only 38μW. Next, three different clock generation circuits, a phase-locked loop (PLL), a multiplying delay-locked loop (MDLL) and a frequency-locked loop (FLL) are presented. First a 0.4-to-1.6GHz sub-sampling fractional-N all digital PLL architecture is discussed that utilizes a D-flip-flop as a digital sub-sampler. Measurement results from a 65nm CMOS test-chip shows 5dB lower phase noise at 100KHz offset frequency, compared to a conventional architecture. The Digital PLL (DPLL) architecture is further extended for a digital MDLL implementation in order to suppress the VCO phase noise beyond the DPLL bandwidth. A zero-offset aperture phase detector (APD) and a digital- to-time converter (DTC) are employed for static phase-offset (SPO) cancellation. A unique in-situ detection circuitry achieves a high resolution SPO measurement in time domain. A 65nm test-chip shows 0.2-to-1.45GHz output frequency range while reducing the phase-noise by 9dB compared to a DPLL. Next, a frequency-to-current converter (FTC) based fractional FLL is proposed for a low accuracy clock generation in an extremely low area for IoT application. High density deep-trench capacitors are used for area reduction. The test-chip is fabricated in a 32nm SOI technology that takes only 0.0054mm2 active area. A high-resolution in-situ period jitter measurement block is also incorporated in this design. Finally, a time based digital low dropout (DLDO) regulator architecture is proposed for fine grain power delivery over a wide load current dynamic range and input/output voltage in order to facilitate dynamic voltage and frequency scaling (DVFS). High- resolution beat frequency detector dynamically adjusts the loop sampling frequency for ripple and settling time reduction due to load transients. A fixed steady-state voltage offset provides inherent active voltage positioning (AVP) for ripple reduction. Circuit simulations in a 65nm technology show more than 90% current efficiency for 100X load current variation, while it can operate for an input voltage range of 0.6V – 1.2V

Energy Efficient Computing with Time-Based Digital Circuits

University of Minnesota Ph.D. dissertation. May 2019. Major: Electrical Engineering. Advisor: Chris Kim. 1 computer file (PDF); xv, 150 pages.Advancements in semiconductor technology have given the world economical, abundant, and reliable computing resources which have enabled countless breakthroughs in science, medicine, and agriculture which have improved the lives of many. Due to physics, the rate of these advancements is slowing, while the demand for the increasing computing horsepower ever grows. Novel computer architectures that leverage the foundation of conventional systems must become mainstream to continue providing the improved hardware required by engineers, scientists, and governments to innovate. This thesis provides a path forward by introducing multiple time-based computing architectures for a diverse range of applications. Simply put, time-based computing encodes the output of the computation in the time it takes to generate the result. Conventional systems encode this information in voltages across multiple signals; the performance of these systems is tightly coupled to improvements in semiconductor technology. Time-based computing elegantly uses the simplest of components from conventional systems to efficiently compute complex results. Two time-based neuromorphic computing platforms, based on a ring oscillator and a digital delay line, are described. An analog-to-digital converter is designed in the time domain using a beat frequency circuit which is used to record brain activity. A novel path planning architecture, with designs for 2D and 3D routes, is implemented in the time domain. Finally, a machine learning application using time domain inputs enables improved performance of heart rate prediction, biometric identification, and introduces a new method for using machine learning to predict temporal signal sequences. As these innovative architectures are presented, it will become clear the way forward will be increasingly enabled with time-based designs

PROCESS AWARE ANALOG-CENTRIC SINGLE LEAD ECG ACQUISITION AND CLASSIFICATION CMOS FRONTEND

The primary objective of this research work is the development of a low power single-lead ECG analog front-end (AFE) architecture which includes acquisition, digitization, process aware efficient gain and frequency control mechanism and a low complexity classifier for the detecting asystole, extreme bardycardia and tachycardia. Recent research on ECG recording systems focuses on the design of a compact single-lead wearable/portable devices with ultra-low-power consumption and in-built hardware for diagnosis and prognosis. Since, the amplitude of the ECG signal varies from hundreds of µV to a few mV, and has a bandwidth of DC to 250 Hz, conventional front-ends use an instrument amplifier followed by a programmable gain amplifier (PGA) to amplify the input ECG signal appropriately. This work presents an mixed signal ECG fronted with an ultra-low power two-stage capacitive-coupled signal conditioning circuit (or an AFE), providing programmable amplification along with tunable 2nd order high pass and lowpass filter characteristics. In the contemporary state-of-the-art ECG recording systems, the gain of the amplifier is controlled by external digital control pins which are in turn dynamically controlled through a DSP. Therefore, an efficient automatic gain control mechanism with minimal area overhead and consuming power in the order of nano watts only. The AGC turns the subsequent ADC on only after output of the PGA (or input of the ADC) reaches a level for which the ADC achieves maximum signal-to-noise-ratio (SNR), hence saving considerable startup power and avoiding the use of DSP. Further, in any practical filter design, the low pass cut-off frequency is prone to deviate from its nominal value across process and temperature variations. Therefore, post-fabrication calibration is essential, before the signal is fed to an ADC, to minimize this deviation, prevent signal degradation due to aliasing of higher frequencies into the bandwidth for classification of ECG signals, to switch to low resolution processing, hence saving power and enhances battery lifetime. Another short-coming noticed in the literature published so far is that the classification algorithm is implemented in digital domain, which turns out to be a power hungry approach. Moreover, Although analog domain implementations of QRS complexes detection schemes have been reported, they employ an external micro-controller to determine the threshold voltage. In this regard, finally a power-efficient low complexity CMOS fully analog classifier architecture and a heart rate estimator is added to the above scheme. It reduces the overall system power consumption by reducing the computational burden on the DSP. The complete proposed scheme consists of (i) an ultra-low power QRS complex detection circuit using an autonomous dynamic threshold voltage, hence discarding the need of any external microcontroller/DSP and calibration (ii) a power efficient analog classifier for the detection of three critical alarm types viz. asystole, extreme bradycardia and tachycardia. Additionally, a heart rate estimator that provides the number of QRS complexes within a period of one minute for cardiac rhythm (CR) and heart rate variability (HRV) analysis. The complete proposed architecture is implemented in UMC 0.18 µm CMOS technology with 1.8 V supply. The functionality of each of the individual blocks are successfully validated using postextraction process corner simulations and through real ECG test signals taken from the PhysioNet database. The capacitive feedback amplifier, Σ∆ ADC, AGC and the AFT are fabricated, and the measurement results are discussed here. The analog classification scheme is successfully validated using embed NXP LPC1768 board, discrete peak detector prototype and FPGA software interfac

High Performance RF and Basdband Analog-to-Digital Interface for Multi-standard/Wideband Applications

The prevalence of wireless standards and the introduction of dynamic standards/applications, such as software-defined radio, necessitate the next generation wireless devices that integrate multiple standards in a single chip-set to support a variety of services. To reduce the cost and area of such multi-standard handheld devices, reconfigurability is desirable, and the hardware should be shared/reused as much as possible. This research proposes several novel circuit topologies that can meet various specifications with minimum cost, which are suited for multi-standard applications. This doctoral study has two separate contributions: 1. The low noise amplifier (LNA) for the RF front-end; and 2. The analog-to-digital converter (ADC). The first part of this dissertation focuses on LNA noise reduction and linearization techniques where two novel LNAs are designed, taped out, and measured. The first LNA, implemented in TSMC (Taiwan Semiconductor Manufacturing Company) 0.35Cm CMOS (Complementary metal-oxide-semiconductor) process, strategically combined an inductor connected at the gate of the cascode transistor and the capacitive cross-coupling to reduce the noise and nonlinearity contributions of the cascode transistors. The proposed technique reduces LNA NF by 0.35 dB at 2.2 GHz and increases its IIP3 and voltage gain by 2.35 dBm and 2dB respectively, without a compromise on power consumption. The second LNA, implemented in UMC (United Microelectronics Corporation) 0.13Cm CMOS process, features a practical linearization technique for high-frequency wideband applications using an active nonlinear resistor, which obtains a robust linearity improvement over process and temperature variations. The proposed linearization method is experimentally demonstrated to improve the IIP3 by 3.5 to 9 dB over a 2.5–10 GHz frequency range. A comparison of measurement results with the prior published state-of-art Ultra-Wideband (UWB) LNAs shows that the proposed linearized UWB LNA achieves excellent linearity with much less power than previously published works. The second part of this dissertation developed a reconfigurable ADC for multistandard receiver and video processors. Typical ADCs are power optimized for only one operating speed, while a reconfigurable ADC can scale its power at different speeds, enabling minimal power consumption over a broad range of sampling rates. A novel ADC architecture is proposed for programming the sampling rate with constant biasing current and single clock. The ADC was designed and fabricated using UMC 90nm CMOS process and featured good power scalability and simplified system design. The programmable speed range covers all the video formats and most of the wireless communication standards, while achieving comparable Figure-of-Merit with customized ADCs at each performance node. Since bias current is kept constant, the reconfigurable ADC is more robust and reliable than the previous published works