Part of the book: Data Acquisition Applications
This chapter explores different analog-to-digital conversion techniques that are suitable to be implemented in cognitive radio receivers. This chapter details the fundamentals, advantages, and drawbacks of three promising techniques: subsampling, interleaving, and compressive sensing. Due to their major maturity, subsampling- and interleaving-based systems are described in further detail, whereas compressive sensing-based systems are described as a complement of the previous techniques for underutilized spectrum applications. The feasibility of these techniques as part of software-defined radio, multistandard, and spectrum sensing receivers is demonstrated by proposing different architectures with reduced complexity at circuit level, depending on the application requirements. Additionally, the chapter proposes different solutions to integrate the advantages of these techniques in a unique analog-to-digital conversion process.
Part of the book: Cognitive Radio
This chapter presents and details a complete IoT solution for secure, synchronous, low-power, wireless and unattended structural health monitoring (SHM), whose architecture can be parameterised to any type of structure to be monitored, thanks to its modular design based on an embedded real-time operating system at the node level and a microservices architecture at the application level. This solution is validated by means of its deployment, together with two commercial reference systems, in two experimental use cases in two different structures: on the one hand, a bridge located at the Engineering School of the University of Seville (Spain) and, on the other hand, the Homage Tower of the Utrera’s Castle (Spain). The results obtained place this work as a novel solution in the current state of the art.
Part of the book: Bridge Engineering