A Prototype Hardware for Gas Sensor Arrays Data Acquisition

Abstract:

In this paper, we utilize recent advances in compressive sensing (CS) theory to enable signal acquisition beyond Nyquist sampling constraints. We successfully reconstruct signals sampled at sub-Nyquist sampling rates by exploiting additional structure. We present a working prototype of data acquisition hardware based on CS theory. The architecture is particularly suitable for sparse gas signals that are sparse in some transform basis. This prototype has the advantage of enhancing the performance of gas sensor arrays data acquisition system by decreasing the data amount and storage memory. We report successful recovery of four-paths surface acoustic wave (SAW) signal at sampling rates less than the Nyquist-rate, which represents perfect reconstruction performance and savings in the storage memory using less than 25% of the original.

• Periodical: Applied Mechanics and Materials (Volumes 496-500)
• Pages: 1796-1800
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.496-500.1796
• Online since: January 2014
• Authors: Hao Zhang, Bao He Yang*, Dong Mei Li
• Keywords: Compressive Sensing, Gas Sensor Arrays Signal, Hardware Prototype

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