Title
A 1.9 GS/s 4-bit sub-Nyquist flash ADC for 3.8 GHz compressive spectrum sensing in 28 nm CMOS
Abstract
Spectral activity detection in wideband radio-frequency (RF) signals for cognitive-radio applications typically necessitates expensive and energy-inefficient analog-to-digital converters (ADCs). In this paper, we present a novel compressive sensing (CS)-based analog front-end, which is able to sample sparse wideband RF signals at low cost and low power. The analog front-end consists of a pseudo-random non-uniform clock generator unit offering the possibility to configure the (average) undersampling factor at run-time, and a low-cost, wideband 1.9 GS/s 4-bit flash ADC. The spectral information acquired at sub-Nyquist rates can be recovered off-line via novel sparse signal dequantization algorithms. The developed analog front-end is implemented in 28nm CMOS, and enables the recovery of spectrally sparse RF signals up to 3.8 GHz by means of CS, which corresponds to a Nyquist-equivalent sampling rate of 7.6 GS/s. The ADC and pseudo-random clock generator together occupy less than 0.1mm2, and consume an estimated 4.1mW to 5.4mW for undersampling factors between 4 and 11.5.
Year
DOI
Venue
2014
10.1109/MWSCAS.2014.6908362
Circuits and Systems
Keywords
Field
DocType
cmos integrated circuits,analogue-digital conversion,cognitive radio,microwave integrated circuits,random number generation,signal detection,cmos,cs-based analog front-end,analog-to-digital converters,cognitive-radio applications,compressive spectrum sensing,frequency 3.8 ghz,pseudorandom nonuniform clock generator unit,size 28 nm,sparse signal dequantization algorithms,sparse wideband rf signals,spectral activity detection,sub-nyquist flash adc,wideband radiofrequency signals,word length 4 bit
Clock generator,Wideband,Computer science,Sampling (signal processing),Undersampling,CMOS,Flash ADC,Electronic engineering,Radio frequency,Electrical engineering,Compressed sensing
Conference
ISSN
Citations 
PageRank 
1548-3746
2
0.41
References 
Authors
9
6
Name
Order
Citations
PageRank
David E. Bellasi1424.71
Luca Bettini26311.01
Thomas Burger3538.14
Qiuting Huang4399145.90
Christian Benkeser5647.86
christoph studer620.41