Abstract | ||
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This paper presents a sub-Nyquist rate data acquisition front-end based on compressive sensing theory. The front-end randomizes a sparse input signal by mixing it with pseudo-random number sequences, followed by analog-to-digital converter sampling at sub-Nyquist rate. The signal is then reconstructed using an L1-based optimization algorithm that exploits the signal sparsity to reconstruct the signal with high fidelity. The reconstruction is based on a priori signal model information, such as a multi-tone frequency-sparse model which matches the input signal frequency support. Wideband multi-tone test signals with 4% sparsity in 5~500 MHz band were used to experimentally verify the front-end performance. Single-tone and multi-tone tests show maximum signal to noise and distortion ratios of 40 dB and 30 dB, respectively, with an equivalent sampling rate of 1 GS/s. The analog front-end was fabricated in a 90 nm complementary metal-oxide-semiconductor process and consumes 55 mW. The front-end core occupies 0.93 mm2. |
Year | DOI | Venue |
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2012 | 10.1109/JETCAS.2012.2221531 | IEEE J. Emerg. Sel. Topics Circuits Syst. |
Keywords | Field | DocType |
optimisation,cmos integrated circuits,sub-nyquist rate compressive sensing,l1-based optimization algorithm,sub-nyquist adc,pseudorandom number sequence,signal sampling,analogue-digital conversion,random number generation,signal sparsity,wideband front-end,compressive sensing (cs),distortion,analog-to-digital converters (adcs),signal distortion,equivalent sampling rate,low-power circuit,sparse input signal,compressed sensing,complementary metal oxide semiconductor process,frequency 5 mhz to 500 mhz,a priori signal model,size 90 nm,analog-to-digital converter,signal reconstruction,wideband multitone test signal,data acquisition frontend,signal detection,random sequences,generators | Computer science,Sampling (signal processing),Signal-to-noise ratio,Electronic engineering,Analog signal,Distortion,Nyquist rate,Signal transfer function,Signal reconstruction,Compressed sensing | Journal |
Volume | Issue | ISSN |
2 | 3 | 2156-3357 |
Citations | PageRank | References |
5 | 0.57 | 0 |
Authors | ||
7 |
Name | Order | Citations | PageRank |
---|---|---|---|
Xi Chen | 1 | 5 | 0.57 |
Ehab A. Sobhy | 2 | 18 | 2.72 |
Zhuizhuan Yu | 3 | 145 | 11.51 |
Sebastian Hoyos | 4 | 234 | 29.24 |
José Silva-Martínez | 5 | 267 | 39.39 |
Samuel Palermo | 6 | 142 | 22.07 |
Brian M. Sadler | 7 | 3179 | 286.72 |