A high performance real-time Interferometry Sensor System Architecture

Abstract Optical feedback or self-mixing interferometry technique has been widely used for sensing vibration, displacement, velocity, distance and flow applications. Such applications require an accurate and consistent output for real-time target measurements. Furthermore, array based sensing, as opposed to point sensing, is being increasingly pursued which requires multiple-input, parallel computing platform. In this article, we have proposed and developed a real-time interferometric sensor applications based multi-core system architecture and programming toolkit. To show that our system is useful in a variety of situations, we applied three algorithms of varying complexity and accuracy for displacement and vibration measurement. In order to prove the efficiency of proposed sensor processing system, we compared it performance and power consumption with a state of the art NXP LPCX54102 sensor processing and motion system architecture. When compared with the baseline multi-core system, the results show that our system improves the system performance upto 7.55 times, draws 15.6% less dynamic power and consumes 8.9 times less energy.

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