Title | ||
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The impact of ADC nonlinearity in a mixed-signal compressive sensing system for frequency-domain sparse signals. |
Abstract | ||
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Compressive sensing (CS) holds new promises for the digitization of wideband frequency-domain sparse signals at sub-Nyquist rate sampling without compromising the reconstruction quality. In this paper, the impact of ADC nonlinearity in a CS receiver for frequency-domain sparse signals is investigated. In a mixed-signal CS system, signals are randomized before sampling. The signal spectrum at each building block in the mixed-signal CS system is analyzed and compared to a conventional Nyquist-rate sampling system. It is shown that the signal randomization in a mixed-signal CS system is able to spread the spurious energy due to ADC nonlinearity along the signal bandwidth, rather than the concentration of harmonic distortion on a few frequencies as it is the case for a conventional ADC. As a result, this paper shows that a significant ADC SFDR (Spurious Free Dynamic Range) improvement is achieved in a CS receiver when processing sparse signals. Simulation results are reported which are in good agreement with the qualitative analysis. |
Year | DOI | Venue |
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2012 | 10.1016/j.phycom.2011.10.007 | Physical Communication |
Keywords | Field | DocType |
Mixed-signal,Compressive sensing,Nonlinearity,Randomization,SFDR (Spurious Free Dynamic Range) | Frequency domain,Wideband,Total harmonic distortion,Telecommunications,Computer science,Real-time computing,Spurious-free dynamic range,Electronic engineering,Bandwidth (signal processing),Sampling (statistics),Mixed-signal integrated circuit,Compressed sensing | Journal |
Volume | Issue | ISSN |
5 | 2 | 1874-4907 |
Citations | PageRank | References |
5 | 0.74 | 26 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Zhuizhuan Yu | 1 | 145 | 11.51 |
Jun Zhou | 2 | 5 | 0.74 |
Mario A. Ramirez | 3 | 11 | 1.56 |
Sebastian Hoyos | 4 | 234 | 29.24 |
Brian M. Sadler | 5 | 3179 | 286.72 |