Relative Self-Calibration of Wireless Acoustic Sensor Networks Using Dual Positioning Mobile Beacon
Relative Self-Calibration of Wireless Acoustic Sensor Networks Using Dual Positioning Mobile Beacon
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DOI：
10.1109/jsyst.2016.2564987
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发表时间：
2018-03
影响因子：
4.4
通讯作者：
Malik Aqeel Anwar;A. Siddique;Muhammad Tahir
中科院分区：
文献类型：
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作者：
Malik Aqeel Anwar;A. Siddique;Muhammad Tahir
为事件定位部署的传感器节点需要具有位置感知能力。当感兴趣的事件是声学时，部署阶段的节点校准（涉及定位和方向）对于正常操作期间的准确事件定位变得非常重要。本文提出了一种声学监视网络中节点校准的新方法。每个节点配备三个麦克风和一个射频收发器。通过从未知位置的信标节点同时传输声学和射频信号来校准节点的相对位置和方向。由麦克风阵列接收的声学信号用于到达角测量。发射射频信号进行到达时间差测量，用于量化信标和传感器节点之间的距离。所提出的方法很有吸引力，因为它不需要昂贵的机载 GPS 模块和指南针。使用包括五个传感器节点和一个信标节点的实验装置证明了所提出方案的有效性。采用最大似然估计来确定噪声测量下的网络配置。进行仿真以观察网络参数（例如节点密度）对节点位置估计精度的影响。
Sensor nodes deployed for event localization are required to be location aware. When event of interest is acoustic, node calibration (involving localization and orientation) during deployment phase become significant for accurate event localization during normal operation. This paper proposes a novel approach for node calibration in an acoustic surveillance network. Each node is equipped with three microphones and an RF transceiver. Nodes are calibrated for their relative positions and orientations by transmitting acoustic and RF signals, simultaneously, from beacon nodes at unknown locations. The acoustic signal, received by microphone array, is used for angle of arrival measurement. While an RF signal is transmitted for time difference of arrival measurement, which is used to quantify distance between beacon and sensor nodes. Proposed approach is attractive as it does not require expensive on board GPS module and compass. The effectiveness of proposed scheme is demonstrated using experimental setup comprising five sensor nodes and one beacon node. Maximum likelihood estimation is employed to determine network configuration under noisy measurements. Simulations are performed to observe the effect of network parameters, such as node density on node position estimation accuracy.