Frequency domain measurement node based on compressive sampling for sensors networks

作者: L. Angrisani , F. Bonavolonta , A. Tocchi , Rosario Schiano Lo Moriello

DOI: 10.1109/IWMN.2015.7322972

关键词: Compressed sensingGreedy algorithmAlgorithmDiscrete Fourier transformSIGNAL (programming language)Real-time computingFrequency domainMicrocontrollerComputer scienceNode (networking)Scheme (programming language)

摘要: The paper deals with the problem of designing and implementing a measurement node based on compressive sampling (CS). considered is tailored for wide area sensors networks aimed to carry out measurements in frequency domain. To this aim, takes advantage from some known or recently proposed CS features such way as outperform nominal specification its data acquisition module. make spectrum estimation feasible level, suitable strategy input signal random an efficient implementation, i.e. greedy algorithms so-called match-pursuit approach, are exploited. First tests presented, related cost-effective microcontroller STMicrocontroller, namely STM32F429ZI, characterized by memory depth sufficient execute agile computational scheme algorithm. estimated spectra concur those obtained through standard discrete Fourier transform-based approaches, thus highlighting feasibility node.

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