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Open AccessArticle

Easily-Deployable Acoustic Local Positioning System Based on Auto-Calibrated Wireless Beacons

Sensory System Research Group, University of Extremadura, 06006 Badajoz, Spain
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Sensors 2019, 19(6), 1385; https://doi.org/10.3390/s19061385
Received: 31 January 2019 / Revised: 13 March 2019 / Accepted: 15 March 2019 / Published: 20 March 2019
(This article belongs to the Special Issue Sensor Fusion and Novel Technologies in Positioning and Navigation)
Self-calibrated Acoustic Local Positioning Systems (ALPS) generally require a high consumption of hardware and software resources to obtain the user’s position at an acceptable update rate. To address this limitation, this work proposes a self-calibrated ALPS based on a software/hardware co-design approach. This working architecture allows for efficient communications, signal processing tasks, and the running of the positioning algorithm on low-cost devices. This fact also enables the real-time system operation. The proposed system is composed of a minimum of four RF-synchronized active acoustic beacons, which emit spread-spectrum modulated signals to position an unlimited number of receiver nodes. Each receiver node estimates the beacons’ position by means of an auto-calibration process and then computes its own position by means of a 3D multilateration algorithm. A set of experimental tests has been carried out where the feasibility of the proposed system is demonstrated. In these experiments, accuracies below 0.1 m are obtained in the determination of the receptor node position with respect to the set of previously-calibrated beacons. View Full-Text
Keywords: Acoustic Local Positioning System (ALPS); wireless beacons; auto-calibration; digital signal processing; embedded systems Acoustic Local Positioning System (ALPS); wireless beacons; auto-calibration; digital signal processing; embedded systems
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Moreno, J.A.; Álvarez, F.J.; Aguilera, T.; Paredes, J.A. Easily-Deployable Acoustic Local Positioning System Based on Auto-Calibrated Wireless Beacons. Sensors 2019, 19, 1385.

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