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Open AccessArticle

Accurate Sample Time Reconstruction of Inertial FIFO Data

Department of Applied Microelectronics and Computer Engineering, University of Rostock, 18109 Rostock, Germany
BOSCH Sensortec GmbH, 72770 Reutlingen, Germany
Author to whom correspondence should be addressed.
This paper is an extended version of our paper “Stieber, S.; Dorsch, R.; Haubelt, C. Accurate Sample Time Reconstruction for Sensor Data Synchronization. In Architecture of Computing Systems—ARCS 2016, Proceedings of the 29th International Conference, Nuremberg, Germany, 4–7 April 2016; Hannig, F.; Cardoso, M.J.; Pionteck, T.; Fey, D.; Schröder-Preikschat, W.; Teich, J. Eds.; Springer International Publishing: Cham, Switzerland, 2016; pp. 185–196”.
Sensors 2017, 17(12), 2894;
Received: 8 November 2017 / Revised: 6 December 2017 / Accepted: 8 December 2017 / Published: 13 December 2017
(This article belongs to the Section Physical Sensors)
In the context of modern cyber-physical systems, the accuracy of underlying sensor data plays an increasingly important role in sensor data fusion and feature extraction. The raw events of multiple sensors have to be aligned in time to enable high quality sensor fusion results. However, the growing number of simultaneously connected sensor devices make the energy saving data acquisition and processing more and more difficult. Hence, most of the modern sensors offer a first-in-first-out (FIFO) interface to store multiple data samples and to relax timing constraints, when handling multiple sensor devices. However, using the FIFO interface increases the negative influence of individual clock drifts—introduced by fabrication inaccuracies, temperature changes and wear-out effects—onto the sampling data reconstruction. Furthermore, additional timing offset errors due to communication and software latencies increases with a growing number of sensor devices. In this article, we present an approach for an accurate sample time reconstruction independent of the actual clock drift with the help of an internal sensor timer. Such timers are already available in modern sensors, manufactured in micro-electromechanical systems (MEMS) technology. The presented approach focuses on calculating accurate time stamps using the sensor FIFO interface in a forward-only processing manner as a robust and energy saving solution. The proposed algorithm is able to lower the overall standard deviation of reconstructed sampling periods below 40 μ s, while run-time savings of up to 42% are achieved, compared to single sample acquisition. View Full-Text
Keywords: sensor nodes; synchronization; Hifi sensors; sensor time; FIFO; MEMS; raspberry pi sensor nodes; synchronization; Hifi sensors; sensor time; FIFO; MEMS; raspberry pi
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Stieber, S.; Dorsch, R.; Haubelt, C. Accurate Sample Time Reconstruction of Inertial FIFO Data. Sensors 2017, 17, 2894.

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