Models and Techniques for Temperature Robust Systems on a Reconfigurable Platform
AbstractThis paper investigates the variability of various circuits and systems over temperature and presents several methods to improve their performance over temperature. The work demonstrates use of large scale reconfigurable System-On-Chip (SOC) for reducing the variability of circuits and systems compiled on a Floating Gate (FG) based Field Programmable Analog Array (FPAA). Temperature dependencies of circuits are modeled using an open-source simulator built in the Scilab/XCOS environment and the results are compared with measurement data obtained from the FPAA. This comparison gives further insight into the temperature dependence of various circuits and signal processing systems and allows us to compensate as well as predict their behavior. Also, the work presents several different current and voltage references that could help in reducing the variability caused due to changes in temperature. These references are standard blocks in the Scilab/Xcos environment that could be easily compiled on the FPAA. An FG based current reference is then used for biasing a
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Shah, S.; Toreyin, H.; Hasler, J.; Natarajan, A. Models and Techniques for Temperature Robust Systems on a Reconfigurable Platform. J. Low Power Electron. Appl. 2017, 7, 21.
Shah S, Toreyin H, Hasler J, Natarajan A. Models and Techniques for Temperature Robust Systems on a Reconfigurable Platform. Journal of Low Power Electronics and Applications. 2017; 7(3):21.Chicago/Turabian Style
Shah, Sahil; Toreyin, Hakan; Hasler, Jennifer; Natarajan, Aishwarya. 2017. "Models and Techniques for Temperature Robust Systems on a Reconfigurable Platform." J. Low Power Electron. Appl. 7, no. 3: 21.
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