Sub-Nyquist Sampling for TDR Sensors: Finite Rate of Innovation with Dithering
نویسندگان
چکیده
In this paper, Finite Rate of Innovation (FRI) is applied to time domain reflectometry and it is aimed at significantly reducing the data acquisition requirements. The sensitivity of FRI to quantisation noise is addressed given the stringent practical constraints on the resolution of the deployed analogue to digital converters in miniature reflectometry sensors. Dithering with averaging is proposed to combat the effects of quantisation noise whilst maintaining remarkably low operational sampling rates. The substantial benefits of the adopted FRI-based reflectometry is demonstrated in the presented simulations. The trade-off between the resolution of the quantiser, time averaging and sampling rate is also depicted in terms of the quality of the signal recovery attained from the sub-Nyquist FRI samples.
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