| Autor: |
Sebastian Hoyos, Brian M. Sadler, Mario A. Ramirez, Jun Zhou, Zhuizhuan Yu |
| Rok vydání: |
2012 |
| Předmět: |
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| Zdroj: |
Physical Communication. 5:196-207 |
| ISSN: |
1874-4907 |
| DOI: |
10.1016/j.phycom.2011.10.007 |
| Popis: |
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. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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