A Novel Distance Measurement Approach Using Shape Matching in Narrow-Band Ultrasonic System

Mirshahi, Shiva; Mas, Orestes

doi:10.1016/j.ifacol.2015.06.114

Cited by 3 publications

(1 citation statement)

References 4 publications

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“…The range of the positioning is within one meter square. To increase the accuracy of range estimation, the authors in paper [24] applying cross correlation technique use the receive signal and the reference stored in memory. Taking into account the possibility of loss of the ultrasonic positioning signal, based on Inertial Units measuring (IMUs), the literature [25] proposed a combined moving target location method, which utilizes extended Kalman filter (EKF) and Least Squares Support Vector Machine (LS-SVM).…”

Section: Mobile Information Systemsmentioning

confidence: 99%

An Indoor Ultrasonic Positioning System Based on TOA for Internet of Things

Han

Zhu

et al. 2016

Mobile Information Systems

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With the development of Internet of Things, the position information of indoor objects becomes more important for most application scenarios. This paper presents an ultrasonic indoor positioning system, which can achieve centimeter-level precise positioning of objects moving indoors. Transmitting nodes, receiving nodes, and display control terminal are needed to constitute the entire system. The system is based on long-baseline positioning technology that uses code division multiplexing access mechanism. There is no limit to the number of receiving nodes as the system works in the up-transmit-down-receive mode. Positioning of a receiving node is found based on ultrasonic Time of Arrival ranging technology. To accurately determine the positioning, there must be at least four or five transmitting nodes. The working radius will not be less than 5 meters when the height is larger than 3 meters. The system uses wideband pseudorandom noise signal called Gold sequences for multiuser identification and slant range measurement. The paper first gives a brief introduction of popular indoor ultrasonic positioning methods and then describes the theory of proposed algorithm and provides the simulation results. To examine the correctness of the approach and its practicality, the practical implementation and experimental results are provided also in the paper.

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Section: Mobile Information Systemsmentioning

confidence: 99%