Title
Area-power-efficient 11-bit hybrid dual-Vdd ADC with self-calibration for neural sensing application
Abstract
Miniaturized neural sensing microsystem has become increasingly important for brain function investigation. This paper presented a low voltage area-power-efficient 11-bit hybrid analog-to-digital convertor (ADC) with self-calibration for neural sensing application. To reduce the total amount of capacitance, the proposed hybrid ADC is composed of 3 bit coarse-tune and 8 bit fine-tune with delay-lined based ADC and successive approximation register (SAR) ADC. The three most significant bits are detected by a modified vernier structure delay-line-based ADC. Self-timed power management including dual voltage supply, power-gating and multi-threshold CMOS are employed and the capacitance mismatch due to process variation is compensated using a self-calibration scheme. The proposed 11 bit ADC is implemented in TSMC 90nm general propose (GP) CMOS technology. Post-sim results indicate that ENOB of 9.71-bits at 32KS/s sampling rate can be achieved with only 982nW power consumption and 0.026-mm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> . The FOM of the proposed hybrid ADC is 36.75fJ/conversion-step.
Year
DOI
Venue
2016
10.1109/SOCC.2016.7905425
2016 29th IEEE International System-on-Chip Conference (SOCC)
Keywords
Field
DocType
SAR ADC,low power,self-calibration,neural sensing
Power management,Capacitance,8-bit,Effective number of bits,Electronic engineering,CMOS,Process variation,Low voltage,Successive approximation ADC,Engineering
Conference
ISBN
Citations 
PageRank 
978-1-5090-1368-5
0
0.34
References 
Authors
11
5
Name
Order
Citations
PageRank
Ming Chen158185.60
Po-Tsang Huang211.06
shanglin wu3467.90
Wei Hwang411.74
Ching-Te Chuang546576.52