Sensory System Research Group, University of Extremadura, 06006 Badajoz, Spain.
Sensors (Basel). 2019 Mar 20;19(6):1385. doi: 10.3390/s19061385.
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.
自校准声定位系统（ALPS）通常需要大量的硬件和软件资源才能以可接受的更新率获得用户的位置。为了解决这一限制，本工作提出了一种基于软件/硬件协同设计方法的自校准 ALPS。这种工作架构允许在低成本设备上高效地进行通信、信号处理任务和定位算法的运行。这一事实也使得实时系统操作成为可能。所提出的系统由至少四个射频同步有源声信标组成，这些信标发射扩频调制信号，以定位任意数量的接收器节点。每个接收器节点通过自校准过程来估计信标的位置，然后通过 3D 多边定位算法计算其自身的位置。已经进行了一组实验测试，证明了所提出系统的可行性。在这些实验中，在确定相对于一组先前校准过的信标的接收器节点位置时，精度低于 0.1 米。
