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Sensors 2014, 14(10), 18915-18940; doi:10.3390/s141018915

New Approach Based on Compressive Sampling for Sample Rate Enhancement in DASs for Low-Cost Sensing Nodes

1
Dipartimento di Ingegneria Elettrica e delle Tecnologie dell'Informazione, Università degli Studi di Napoli Federico II, Via Claudio 21, Naples 80125, Italy
2
Dipartimento di Ingegneria, Università di Napoli "Parthenope", Centro Direzionale di Napoli, Isola C4, Naples 80143, Italy
These authors contributed equally to this work.
*
Author to whom correspondence should be addressed.
Received: 3 July 2014 / Revised: 16 September 2014 / Accepted: 26 September 2014 / Published: 13 October 2014
(This article belongs to the Section Sensor Networks)
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Abstract

The paper deals with the problem of improving the maximum sample rate of analog-to-digital converters (ADCs) included in low cost wireless sensing nodes. To this aim, the authors propose an efficient acquisition strategy based on the combined use of high-resolution time-basis and compressive sampling. In particular, the high-resolution time-basis is adopted to provide a proper sequence of random sampling instants, and a suitable software procedure, based on compressive sampling approach, is exploited to reconstruct the signal of interest from the acquired samples. Thanks to the proposed strategy, the effective sample rate of the reconstructed signal can be as high as the frequency of the considered time-basis, thus significantly improving the inherent ADC sample rate. Several tests are carried out in simulated and real conditions to assess the performance of the proposed acquisition strategy in terms of reconstruction error. In particular, the results obtained in experimental tests with ADC included in actual 8- and 32-bits microcontrollers highlight the possibility of achieving effective sample rate up to 50 times higher than that of the original ADC sample rate. View Full-Text
Keywords: compressive sampling; high time resolution ADC; sample rate; random sampling compressive sampling; high time resolution ADC; sample rate; random sampling
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Bonavolontà, F.; D'Apuzzo, M.; Liccardo, A.; Vadursi, M. New Approach Based on Compressive Sampling for Sample Rate Enhancement in DASs for Low-Cost Sensing Nodes. Sensors 2014, 14, 18915-18940.

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