论文标题
无线声传感器网络的距离估计值的迭代几何校准
Iterative Geometry Calibration from Distance Estimates for Wireless Acoustic Sensor Networks
论文作者
论文摘要
在本文中，我们提出了一种在无线声传感器网络中进行几何校准的方法，该网络假定其节点配备了紧凑的麦克风阵列。所提出的方法仅与记录这些来源的声源和节点之间的距离估计。它由迭代加权最小二乘定位程序组成，该程序是通过多维缩放初始化的。在传感器节点位置的同时，还估计了声源的位置。此外，我们得出用于源和传感器位置估计的CRAMER-RAO下限（CRLB），并通过模拟显示估计器是有效的。
In this paper we present an approach to geometry calibration in wireless acoustic sensor networks, whose nodes are assumed to be equipped with a compact microphone array. The proposed approach solely works with estimates of the distances between acoustic sources and the nodes that record these sources. It consists of an iterative weighted least squares localization procedure, which is initialized by multidimensional scaling. Alongside the sensor node locations, also the positions of the acoustic sources are estimated. Furthermore, we derive the Cramer-Rao lower bound (CRLB) for source and sensor position estimation, and show by simulation that the estimator is efficient.
