DocumentCode :
651487
Title :
Area-power-efficient 11-bit SAR ADC with delay-line enhanced tuning for neural sensing applications
Author :
Teng-Chieh Huang ; Po-Tsang Huang ; Shang-Lin Wu ; Kuan-Neng Chen ; Jin-Chern Chiou ; Kuo-Hua Chen ; Chi-Tsung Chiu ; Ho-Ming Tong ; Ching-Te Chuang ; Wei Hwang
Author_Institution :
Dept. of Electron. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan
fYear :
2013
fDate :
Oct. 31 2013-Nov. 2 2013
Firstpage :
238
Lastpage :
241
Abstract :
In this paper, an area-power-efficient 11-bit hybrid analog-to-digital converter (ADC) with delay-line enhanced tuning for neural sensing applications is presented. To reduce the total amount of capacitance, this hybrid ADC is composed of a coarse tune and a fine tune by 3-bit delay-lined-based ADC and 8-bit successive approximation register (SAR) ADC, respectively. The delay-lined-based ADC is designed to detect the three most significant bits by a modified vernier structure. To relax the accuracy requirement of the coarse tune, the lifting-based searching algorithm and re-comparison procedure are proposed for the fine tune. To further achieve energy saving, split capacitor array and self-timed control are utilized in the SAR ADC. Fabricated in TSMC 0.18μm CMOS technology, an ENOB of 10.4-bit at 8KS/s can be achieved with only 0.6μW power consumption and 0.032-mm2 area. The FoM of this ADC is 49.4fJ/conversion-step.
Keywords :
CMOS integrated circuits; analogue-digital conversion; bioelectric potentials; biomedical electronics; capacitance; capacitors; delay lines; microfabrication; neurophysiology; ENOB; TSMC CMOS technology; analog-to-digital converter; area-power-efficient; capacitance; delay-lined-based ADC; energy saving; lifting-based searching algorithm; neural sensing applications; power 0.6 muW; power consumption; self-timed control; size 0.18 mum; split capacitor array; successive approximation register ADC; tuning enhancement; Arrays; Capacitance; Capacitors; Clocks; Indium phosphide; Sensors; Tuning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Circuits and Systems Conference (BioCAS), 2013 IEEE
Conference_Location :
Rotterdam
Type :
conf
DOI :
10.1109/BioCAS.2013.6679683
Filename :
6679683
Link To Document :
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