Fabian Höflinger, J. Hoppe, Rui Zhang, A. Ens, L. Reindl, Johannes Wendeberg, C. Schindelhauer
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引用次数: 21
Abstract
In this paper we present our acoustic indoor-localization system ASSIST (Acoustic Self-calibrating System for Indoor Smart phone Tracking) running on embedded ARM CPUs. The developed system uses acoustic signals beyond the audible range to localize COTS (commercial off-the-shelf) smart phones. The sound receivers installed with the infrastructure are connected using a Wi-Fi network. Furthermore, the sound receivers synchronize the clocks and exchange the time differences of arrival of the received sound signals from the Wi-Fi network. In this way, using an iterative multilateration algorithm, the locations of smart phones are calculated. We present our developed novel receiver hardware. The integrated single-board computer based on ARM replaces the external computer units to synchronize the receivers with the network and calculates the position via a TDoA (Time Difference of Arrival) algorithm. By powering the receivers via power-over-Ethernet the installation effort is minimized. The integrated inertial sensors of the smart phone can be used to calculate the position in a non-line of sight condition. Therefore different methods are available to support the position calculation for ASSIST.
本文介绍了一种基于嵌入式ARM处理器的室内智能手机定位系统ASSIST (acoustic Self-calibrating system for Indoor Smart phone Tracking)。开发的系统使用超出可听范围的声学信号来定位COTS(商用现货)智能手机。与基础设施一起安装的音响接收器通过Wi-Fi网络连接。此外,声音接收器同步时钟并交换从Wi-Fi网络接收到的声音信号到达的时间差。通过这种方法,利用迭代迭代算法,计算出智能手机的位置。介绍了我们研制的新型接收机硬件。基于ARM的集成单板计算机取代外部计算机单元,使接收机与网络同步,并通过TDoA(到达时差)算法计算位置。通过以太网供电为接收器供电,安装工作量最小化。智能手机的集成惯性传感器可用于计算非视线条件下的位置。因此,可以使用不同的方法来支持ASSIST的位置计算。