2015•Unpublished venueRequires access

Evaluation of position estimation based on accelerometer data

Zdzisław Kowalczuk, Tomasz Merta

Open publisher page 14 citations

Abstract

The paper concerns the problem of integrating data from accelerometers. A suitable model of a MEMS accelerometer is presented which is a part of inertial measurement units (IMU). Such units allow to measure orientation as well as to localize systems. They also appear to be applicable for systems positioning. The main purpose of the paper is to discuss conditions that must be satisfied to calculate the location of the sensor by means of the double integration of acceleration. The model takes into account static and dynamic settings as well as the features of low-cost MEMS accelerometers. Much attention is devoted to the impact the practical motion signals from the sensor have on the desired output of integration, and simulation results emphasize the problem of determining the `true' linear acceleration from accelerometer measurements.

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What this paper is about

The paper concerns the problem of integrating data from accelerometers. A suitable model of a MEMS accelerometer is presented which is a part of inertial measurement units (IMU). Such units allow to measure orientation as well as to localize systems. They also appear to be applicable for systems positioning. The main purpose of the paper is to discuss conditions that must be satisfied to calculate the location of the sensor by means of the double integration of acceleration. The model takes into account static and dynamic settings as well as the features of low-cost MEMS accelerometers. Much attention is devoted to the impact the practical motion signals from the sensor have on the desired output of integration, and simulation results emphasize the problem of determining the `true' linear acceleration from accelerometer measurements.

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OpenAlex reports 14 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

The paper concerns the problem of integrating data from accelerometers. A suitable model of a MEMS accelerometer is presented which is a part of inertial measurement units (IMU). Such units allow to measure orientation as well as to localize systems. They also appear to be applicable for systems positioning. The main purpose of the paper is to discuss conditions that must be satisfied to calculate the location of the sensor by means of the double integration of acceleration. The model takes into account static and dynamic settings as well as the features of low-cost MEMS accelerometers. Much attention is devoted to the impact the practical motion signals from the sensor have on the desired output of integration, and simulation results emphasize the problem of determining the `true' linear acceleration from accelerometer measurements.

Key concepts: Accelerometer, Inertial measurement unit, Acceleration, Computer science, Position (finance), Units of measurement, Inertial frame of reference, Microelectromechanical systems

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