Robust localization in cluttered environments with NLOS propagation
Robust localization in cluttered environments with NLOS propagation
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DOI：
10.1109/mass.2010.5663983
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发表时间：
2010-12
期刊：
影响因子：
--
通讯作者：
S. Nawaz;A. Trigoni
中科院分区：
文献类型：
--
作者：
S. Nawaz;A. Trigoni
在本文中，我们提出了一个强大的定位算法定位传感器节点在杂乱的环境中，一个未定位的节点和参考节点与已知坐标之间的估计距离可能包含很大的误差，由于非视线信号传播。我们表明，传统的最小二乘拟合受到严重影响，即使其中一个测量的距离是错误的，而我们的方法功能正常，即使一半的测量距离包含较大的误差，由于非视线信号。我们的算法是独立的物理层用于执行测距，不需要识别的直接和反射信号或任何先验信息的测量误差或表征的环境中部署的传感器节点的统计特性。
In this paper, we propose a robust multilateration algorithm for localizing sensor nodes in cluttered environments where the estimated distances between an unlocalized node and reference nodes with known coordinates may contain large errors due to non line of sight signal propagation. We show that the traditional least squares multilateration is severely affected even if one of the measured distances is erroneous whereas our approach functions properly even if half of the measured distances contain large errors due to non line of sight signals. Our algorithm is independent of the physical layer used to perform ranging and does not require the identification of direct and reflected signals or any prior information about the statistical properties of measurement errors or characterization of the environment where the sensor nodes are deployed.