Name
Abstract | ||
|---|---|---|
This paper presents a sub-Nyquist rate sampling receiver architecture that exploits signal sparsity by employing compressive sensing (CS) techniques. The receiver serves as an analog-to-information conversion system that works at sampling rates much lower than the Nyquist rate. A parallel-path structure that employs current mode sampling techniques is used. The receiver performance is quantified analytically. Useful and fundamental design guidelines that are unique to CS are provided based on the analytical tools. Simulations with a 90-nm CMOS process verify the theoretical derivations and the circuit implementations. Based on these results, it is shown that an instantaneous receiver signal bandwidth of 1.5 GHz and a signal-to-noise-plus-distortion ratio of 44 dB are achievable. The receiver power consumption is estimated to be 120.8 mW. A comparison with state-of-the-art high-speed analog-to-digital conversions reveals that the proposed approach improves the figure of merit by a factor of three if the signal exhibits a 4% sparsity. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/TCSI.2010.2072430 | IEEE Transactions on Circuits and Systems I-regular Papers |
Keywords | Field | DocType |
cmos process,cmos integrated circuits,signal-to-noise-plus-distortion ratio,signal sampling,analogue-digital conversion,compressive sensing,rf current mode circuits,low-power circuits,compressive sensing (cs),current mode sampling,analog-to-information conversion system,sub-nyquist rate sampling receiver,parallel-path structure,low-noise analog circuits,size 90 nm,radio receivers,power 120.8 mw,analog-to-information converters,wideband receiver,sub-nyquist analog-to-digital conversion (adc),bandwidth 1.5 ghz,analog-to-digital conversions,sampling technique,indexing terms,analog circuits,figure of merit,frequency domain analysis,compressed sensing,bandwidth,matching pursuit | Frequency domain,Radio receiver design,Computer science,CMOS,Electronic engineering,Figure of merit,Bandwidth (signal processing),Sampling (statistics),Nyquist rate,Compressed sensing | Journal |
Volume | Issue | ISSN |
58 | 3 | 1549-8328 |
Citations | PageRank | References |
36 | 2.09 | 19 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xi Chen | 1 | 36 | 2.09 |
| Zhuizhuan Yu | 2 | 145 | 11.51 |
| Sebastian Hoyos | 3 | 234 | 29.24 |
| Brian M. Sadler | 4 | 3179 | 286.72 |
| José Silva-Martínez | 5 | 267 | 39.39 |