Title :
An Adaptive Resolution Asynchronous ADC Architecture for Data Compression in Energy Constrained Sensing Applications
Author :
Trakimas, Michael ; Sonkusale, Sameer R.
Author_Institution :
Dept. of Electr. & Comput. Eng., Tufts Univ., Medford, MA, USA
fDate :
5/1/2011 12:00:00 AM
Abstract :
An adaptive resolution (AR) asynchronous analog-to-digital converter (ADC) architecture is presented. Data compression is achieved by the inherent signal dependent sampling rate of the asynchronous architecture. An AR algorithm automatically varies the ADC quantizer resolution based on the rate of change of the input. This overcomes the trade-off between dynamic range and input bandwidth typically seen in asynchronous ADCs. A prototype ADC fabricated in a 0.18 μm CMOS technology, and utilizing the subthreshold region of operation, achieves an equivalent maximum sampling rate of 50 kS/s, an SNDR of 43.2 dB, and consumes 25 μW from a 0.7 V supply. The ADC is also shown to provide data compression for accelerometer applications as a proof of concept demonstration.
Keywords :
CMOS integrated circuits; analogue-digital conversion; asynchronous circuits; data compression; quantisation (signal); signal resolution; signal sampling; ADC quantizer resolution; CMOS technology; accelerometer; adaptive resolution asynchronous ADC architecture; analog-to-digital converter; data compression; energy constrained sensing; power 25 muW; signal dependent sampling rate; size 0.18 mum; voltage 0.7 V; Bandwidth; Data compression; Digital signal processing; Dynamic range; Heuristic algorithms; Signal resolution; Signal to noise ratio; Adaptive resolution quantizer; analog-to-digital conversion (ADC); asynchronous sampling; data compression;
Journal_Title :
Circuits and Systems I: Regular Papers, IEEE Transactions on
DOI :
10.1109/TCSI.2010.2092132