A 0.8-V 1.7-μW25.9-fJ continuous-time sigma-delta modulator for biomedical applications

Bai, Wenbin; Wang, Yifei; Zhu, Zhangming

doi:10.1109/biocas.2016.7833778

Cited by 2 publications

(3 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The presented V-F conversion theory shows that the input voltage to oscillator output frequency conversion should be ideally linear based on equation (3). This suggests that possible sources of non-linearity in the proposed circuit are in the implementation of the functional blocks and control switches.…”

Section: B Voltage-to-frequency Conversion Theorymentioning

confidence: 97%

“…One of the main sub-system in the design of implantable biomedical electronics is the analog front-end (AFE) which consists of signal acquisition and analog-to-digital conversion (ADC) modules. There are several low-power analog front-end designs based on successive-approximation register (SAR) and delta-sigma ADC structures that are widely used in biomedical applications [2], [3]. In this paper, we propose an alternate time-based ADC architecture with moderate power consumption targeted towards biomedical applications.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A VCO-based ADC with Relaxation Oscillator for Biomedical Applications

Olabode

Ontronen

Unnikrishnan

et al. 2018

2018 25th IEEE International Conference on Electronics, Circuits and Systems (ICECS)

View full text Add to dashboard Cite

This paper describes a voltage controlled oscillator (VCO)-based ADC for biomedical applications which employs a relaxation oscillator for voltage-to-frequency conversion. The proposed circuit uses a redundant pair of capacitors to mitigate the conversion error resulting from the time required for resetting the capacitor. A switch matrix with feedback helps sustain oscillations. Further, the VCO frequency approaches zero as the input voltage approaches zero unlike a converter with ring oscillator, thereby reducing power consumption. Post-layout simulation of the proposed ADC designed with a 28 nm FDSOI CMOS technology shows an ENOB of 8 and power consumption of 12 W from a 0.7 V supply.

show abstract

Section: B Voltage-to-frequency Conversion Theorymentioning

confidence: 97%

Section: Introductionmentioning

confidence: 99%

A VCO-based ADC with Relaxation Oscillator for Biomedical Applications

Olabode

Ontronen

Unnikrishnan

et al. 2018

2018 25th IEEE International Conference on Electronics, Circuits and Systems (ICECS)

View full text Add to dashboard Cite

show abstract

“…Since the SD modulator is the key of the converter operation, a basic modulator is analyzed to understand its operation. Assuming that the loop filter is a discrete time (DT) forward-Euler integrator, [5] ( ) = 1 − The linear model of a first order SD modulator can be represented by the block diagram shown in Fig. 2.8 whose output is: …”

mentioning

confidence: 99%

Sigma Delta Modulators: A Review

Beigh¹

2018

IJRASET

View full text Add to dashboard Cite

with ever growing technology scaling, low power operation has become a necessity in VLSI design. Sigma Delta ADC consists major portions of the modern VLSI designs, thus efforts are being made to design low power ,small area sigma delta ADCs using different topologies and methodologies. This paper discusses various existing Sigma Delta modulator designs and topologies, consisting of different number stages and optimizations from one another. This paper focuses on the study of these designs and their comparison on the basis of parameters like power dissipation, structure order, bandwidth, OSR, FOM etc. All the designs studies are application and technology specific but the output bit patterns are similar for similar inputs with variations in rate of output. The simulation environment for the structures was chosen to be PSPICE A/D 16.6 and Sigma Delta Toolbox of MATLAB R2014a. Keywords: Sigma Delta ADC, Oversampling, SNR, SNDR, FOM, PSPICE. I.INTRODUCTION Sigma Delta modulators (DSMs) are a class of oversampling analog-to-digital converters (ADCs) that perform "quantization noise shaping," thus achieving a high signal-to-noise ratio (SNR). An efficient solution for resolutions above approximately 12 bits, DSMs are extensively used in analog and RF applications. In this article, we study the fundamentals of this vast field. Sigma-delta (SD) analog-to-digital converters (ADCs) are employed over a wide range of applications, from low frequency instrumentation to high-speed communication circuits .Continuous-time sigma-delta modulators (CT-SDMs) provide meaningful advantage over their discrete-time (DT) counterparts, as such as lower power consumption, wider input signal bandwidth and implicit anti-alias filter (AAF). Thus, they have been a good choice for power-efficient, high and medium to high resolution SD ADCs targeted to wireless wideband high-speed applications in advanced CMOS technologies. Based on this properties many CTSDM with signal bandwidth of 0.5 MHz to 20 MHz are reported in the literature. Discrete-time (DT), switched-capacitor circuits are a widespread tool for implementing SD data converters. These data converters are pushed by an increasing demand for higher rates and lower consumption SD converters in order to handle, e.g. current mobile high bandwidth communication systems. DT Modulators have enhanced their performance due to the improvement in microelectronics manufacturing methods along with architectures that work accurately in the discrete domain. Sigma-delta converters operation is based on the quantization noise shaping principle. The signal processing path is built in such a way that noise spectrum transformation is different from signal spectrum transformation. In this case signal transformation is characterized by signal transfer function (STF) while noise transformation is characterized by noise transfer function (NTF).[1] The evolution of the CMOS technology during the last decades has allowed the presence of electronic systems in many aspects of our daily life: automotive, ...

show abstract

A 0.8-V 1.7-μW25.9-fJ continuous-time sigma-delta modulator for biomedical applications

Cited by 2 publications

References 10 publications

A VCO-based ADC with Relaxation Oscillator for Biomedical Applications

A VCO-based ADC with Relaxation Oscillator for Biomedical Applications

Sigma Delta Modulators: A Review

Contact Info

Product

Resources

About