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Node Localization Algorithm Based on Matrix Pencil for Wireless Sensor Network

机译:基于矩阵铅笔的无线传感器网络节点定位算法

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Wireless sensor network (WSN) is a new way to collect and process information. The node localization is the basis for most WSN applications. As matrix pencil (MP) algorithm is a high-resolution method of parameter estimation, in this paper, we put forward a novel range-based node localization method for WSN, which combines MP algorithm, multilateral localization with Taylor algorithm or Chan algorithm. MP algorithm is used to estimate the time of arrival (TOA) of the signal from an unknown node to an anchor node. compared with traditional localization methods, the proposed method has some key advantages, such as higher positioning accuracy, smaller computational amount, suppression over non-Gaussian noise, energy saving, faster executing, etc. In the simulation, we also study the impact of signal to noise ratio (SNR) and the number of nodes on positioning accuracy.
机译:无线传感器网络(WSN)是收集和处理信息的新方法。节点本地化是大多数WSN应用程序的基础。作为矩阵铅笔(MP)算法是一种高分辨率的参数估计方法,在本文中,我们提出了一种用于WSN的新型基于范围的节点定位方法,它将MP算法,与泰勒算法或CHAN算法组合的多边定位。 MP算法用于估计从未知节点到锚节点的信号的到达时间(TOA)。与传统的本地化方法相比,该方法具有一些关键优势,如更高的定位精度,较小的计算量,抑制非高斯噪声,节能,更快的执行等。在模拟中,我们还研究了信号的影响噪声比(SNR)和定位精度的节点数量。

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