DocumentCode :
651497
Title :
A signal-specific approach for reducing SAR-ADC power consumption
Author :
Chiang, Ken Chia-Han ; Artan, N.S. ; Chao, H. Jonathan
Author_Institution :
Polytech. Inst. of New York Univ., New York, NY, USA
fYear :
2013
fDate :
Oct. 31 2013-Nov. 2 2013
Firstpage :
278
Lastpage :
281
Abstract :
A novel power optimization technique, called adaptive tracking is proposed in this paper for successive approximation analog-to-digital converters aiming implantable device applications. A SAR-ADC can easily be equipped with the proposed tracking technique by a minor modification in its digital circuitry (SAR). This work relies on the similarity of consecutive sample values in band-limited bio-potentials. The proposed adaptive tracking scheme can reduce power consumption of a wide variety of SAR-ADCs. In particular, we show that the tracking scheme can save 30% of power in a conventional SAR-ADC, 31% of power in those using binary SAR-ADCs using a weighted DAC with split MSB capacitor, and 8% of power in those using charge sharing DAC.
Keywords :
analogue-digital conversion; bioelectric potentials; biomedical electronics; biomedical equipment; capacitors; prosthetics; SAR-ADC power consumption; adaptive tracking scheme; adaptive tracking technique; analog-to-digital converter; band-limited biopotentials; binary SAR-ADC; digital circuitry; implantable device applications; power consumption reduction; power optimization technique; signal-specific approach; split MSB capacitor; weighted DAC; Approximation methods; Capacitors; Clocks; Detectors; Implants; Power demand; Signal resolution; ADC; SAR; analog signals; tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Circuits and Systems Conference (BioCAS), 2013 IEEE
Conference_Location :
Rotterdam
Type :
conf
DOI :
10.1109/BioCAS.2013.6679693
Filename :
6679693
Link To Document :
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