A Low-Power, Reconfigurable, Pipelined ADC with Automatic Adaptation for Implantable Bioimpedance Applications

Biomedical monitoring systems that observe various physiological parameters or electrochemical reactions typically cannot expect signals with fixed amplitude or frequency as signal properties can vary greatly even among similar biosignals. Furthermore, advancements in biomedical research have resulted in more elaborate biosignal monitoring schemes which allow the continuous acquisition of important patient information. Conventional ADCs with a fixed resolution and sampling rate are not able to adapt to signals with a wide range of variation. As a result, reconfigurable analog-to-digital converters (ADC) have become increasingly more attractive for implantable biosensor systems. These converters are able to change their operable resolution, sampling rate, or both in order convert changing signals with increased power efficiency. Traditionally, biomedical sensing applications were limited to low frequencies. Therefore, much of the research on ADCs for biomedical applications focused on minimizing power consumption with smaller bias currents resulting in low sampling rates. However, recently bioimpedance monitoring has become more popular because of its healthcare possibilities. Bioimpedance monitoring involves injecting an AC current into a biosample and measuring the corresponding voltage drop. The frequency of the injected current greatly affects the amplitude and phase of the voltage drop as biological tissue is comprised of resistive and capacitive elements. For this reason, a full spectrum of measurements from 100 Hz to 10-100 MHz is required to gain a full understanding of the impedance. For this type of implantable biomedical application, the typical low power, low sampling rate analog-to-digital converter is insufficient. A different optimization of power and performance must be achieved. Since SAR ADC power consumption scales heavily with sampling rate, the converters that sample fast enough to be attractive for bioimpedance monitoring do not have a figure-of-merit that is comparable to the slower converters. Therefore, an auto-adapting, reconfigurable pipelined analog-to-digital converter is proposed. The converter can operate with either 8 or 10 bits of resolution and with a sampling rate of 0.1 or 20 MS/s. Additionally, the resolution and sampling rate are automatically determined by the converter itself based on the input signal. This way, power efficiency is increased for input signals of varying frequency and amplitude

Developing Model-Based Design Evaluation for Pipelined A/D Converters

This paper deals with a prospective approach of modeling, design evaluation and error determination applied to pipelined A/D converter architecture. In contrast with conventional ADC modeling algorithms targeted to extract the maximum ADC non-linearity error, the innovative approach presented allows to decompose magnitudes of individual error sources from a measured or simulated response of an ADC device. Design Evaluation methodology was successfully applied to Nyquist rate cyclic converters in our works [13]. Now, we extend its principles to pipelined architecture. This qualitative decomposition can significantly contribute to the ADC calibration procedure performed on the production line in term of integral and differential nonlinearity. This is backgrounded by the fact that the knowledge of ADC performance contributors provided by the proposed method helps to adjust the values of on-chip converter components so as to equalize (and possibly minimize) the total non-linearity error. In this paper, the design evaluation procedure is demonstrated on a system design example of pipelined A/D converter. Significant simulation results of each stage of the design evaluation process are given, starting from the INL performance extraction proceeded in a powerful Virtual Testing Environment implemented in Maple™ software and finishing by an error source simulation, modeling of pipelined ADC structure and determination of error source contribution, suitable for a generic process flow

Equalization-Based Digital Background Calibration Technique for Pipelined ADCs

In this paper, we present a digital background calibration technique for pipelined analog-to-digital converters (ADCs). In this scheme, the capacitor mismatch, residue gain error, and amplifier nonlinearity are measured and then corrected in digital domain. It is based on the error estimation with nonprecision calibration signals in foreground mode, and an adaptive linear prediction structure is used to convert the foreground scheme to the background one. The proposed foreground technique utilizes the LMS algorithm to estimate the error coefficients without needing high-accuracy calibration signals. Several simulation results in the context of a 12-b 100-MS/s pipelined ADC are provided to verify the usefulness of the proposed calibration technique. Circuit-level simulation results show that the ADC achieves 28-dB signal-to-noise and distortion ratio and 41-dB spurious-free dynamic range improvement, respectively, compared with the noncalibrated ADC

A 10-bit 40MS/s Pipelined ADC in a 0.13μm CMOS Process

This paper presents a 10-bit analogue to digital converter (ADC) that will be integrated in a general purpose charge readout ASIC that is the new generation of mixed-mode integrated circuits for Time Projection Chamber (TPC) readout. It is based on a pipelined structure with double sampling and was implemented with switched capacitor circuits in eight 1.5-bit stages followed by a 2-bit stage. The power consumption is adjustable with the conversion rate and varies between 15 and 34mW for a 15 to 40MS/s conversion speed. The ADC occupies a silicon area of 0.7mm2 in a 0.13μm CMOS process and operates from a single 1.5V supply

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

A digital background calibration technique for pipeline ADCs

http://www.worldcat.org/oclc/4258158

Low power data converters for specific applications

Due to increasing importance of portable equipment and reduction of the supply voltage due to technology scaling, recent efforts in the design of mixed-signal circuits have focused on developing new techniques to reduce the power dissipation and supply voltage. This requires research into new architectures and circuit techniques that enable both integration and programmability. Programmability allows each component to be used for different applications, reducing the total number of components, and increased integration by eliminating external components will reduce cost and power;Since data converters are used in many different applications, in this thesis new low voltage and low power data converter techniques at both the architecture and circuit design levels are investigated to minimize power dissipation and supply voltage. To demonstrate the proposed techniques, test the performance of the proposed architectures, and verify their effectiveness in terms of power savings, five prototype chips are fabricated and tested;First, a re-configurable data converter (RDC) architecture is presented that can be programmed as analog-to-digital converter (ADC), digital-to-analog converter (DAC), or both. The reconfigurability of the RDC to different numbers of ADCs and DACs having different speeds and resolutions makes it an ideal choice for analog test bus, mixed-mode boundary scan, and built-in self test applications. It combines the advantages of both analog test buses and boundary scan techniques while the area overhead of the proposed techniques is very low compared to the mixed-mode boundary scan techniques. RDC can save power by allowing the designer to program it as the right converter for desired application. This architecture can be potentially implemented inside a field programmable gate array (FPGA) to allow the FPGA communicate with the analog world. It can also be used as a stand-alone product to give flexibility to the user to choose ADC/DAC combinations for the desired application;Next, a new method for designing low power and small area ROMless direct digital frequency synthesizers (DDFSs) is presented. In this method, a non-linear digital-to-analog converter is used to replace the phase-to-sine amplitude ROM look-up table and the linear DAC in conventional DDFS. Since the non-linear DAC converts the phase information directly into analog sine wave, no phase-to-amplitude ROM look-up table is required;Finally, a new low voltage technique based on biased inverting opamp that can have almost rail-to-rail swing with continuously valid output is discussed. Based on this biasing technique, a 10-bit segmented R-2R DAC and an 8-bit successive approximation ADC are designed and presented

Modeling and Implementation of A 6-Bit, 50MHz Pipelined ADC in CMOS

The pipelined ADC is a popular Nyquist-rate data converter due to its attractive feature of maintaining high accuracy at high conversion rate with low complexity and power consumption. The rapid growth of its application such as mobile system, digital video and high speed data acquisition is driving the pipelined ADC design towards higher speed, higher precision with lower supply voltage and power consumption. This thesis project aims at modeling and implementation of a pipelined ADC with high speed and low power consumption