The impact of ADC nonlinearity in a mixed-signal compressive sensing system for frequency-domain sparse signals |
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Authors: | Zhuizhuan Yu Jun Zhou Mario Ramirez Sebastian Hoyos Brian M Sadler |
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Institution: | 1. Analog and Mixed Signal Center, Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX 77843-3128, United States;2. Army Research Laboratory, AMSRD-ARL-CI-CN, Adelphi, MD 20783, United States;3. Texas Instrument, 12500 TI Blvd, MS 8755, Dallas, TX 75243, United States |
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Abstract: | 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. |
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