Title :
1.2 GS/s Hadamard Transform front-end for compressive sensing in 65nm CMOS
Author :
Khan, O.U. ; Wentzloff, David D.
Author_Institution :
Univ. of Michigan, Ann Arbor, MI, USA
Abstract :
In this paper we present a digitally assisted front-end that performs analog computation of the Walsh Hadamard Transform (WHT) for GHz ADCs using compressive sensing to reduce power. The circuit consumes 11.2 mW of power while sampling at 1.2 GHz. The achieved compression rate assuming an ideal ADC is 59.4% with a mean square error of 0.3%. Comparison with the Nyquist ADC shows that using the sub-Nyquist ADC with the proposed WHT front-end reduces power by a factor of about 6x.
Keywords :
CMOS integrated circuits; Hadamard transforms; analogue-digital conversion; compressed sensing; ADC; CMOS process; Nyquist ADC; WHT front-end; Walsh Hadamard transform front-end; compressive sensing; digitally assisted front-end; frequency 1.2 GHz; mean square error; power 11.2 mW; size 65 nm; CMOS integrated circuits; Clocks; Compressed sensing; Current measurement; Mean square error methods; Power demand; Transforms; Compressed sensing; Walsh Hadamard Transform; sub-Nyquist ADC;
Conference_Titel :
Radio and Wireless Symposium (RWS), 2013 IEEE
Conference_Location :
Austin, TX
Print_ISBN :
978-1-4673-2929-3
Electronic_ISBN :
2164-2958
DOI :
10.1109/RWS.2013.6486681
