Multi-Hop Localization Using Mobility (MLM) in Mixed LOS/NLOS Environments
Multi-Hop Localization Using Mobility (MLM) in Mixed LOS/NLOS Environments
复制标题
混合 LOS/NLOS 环境中使用移动性的多跳定位 (MLM)
DOI：
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发表时间：
2010
期刊：
影响因子：
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通讯作者：
T. Mizuno
中科院分区：
文献类型：
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作者：
T. Takenaka;Z. Sahinoglu;G. Bhatti;Jinyun Zhang;H. Mineno;T. Mizuno
提出了一种在视距/非视距(LOS/NLOS)混合环境下利用移动(MLM)进行多跳定位的新技术。在MLM中，配备超宽带(UWB)无线电的节点首先随机移动以收集到达时间(TOA)测量，然后应用改进的有偏卡尔曼滤波(MBKF)来抑制NLOS误差。通过使用最短路径距离(SPD)选择，进一步减轻了测量中的NLOS偏差。使用多维尺度(MDS)对节点位置进行初始化，然后使用迭代三边测量结合误差累积管理来估计节点位置。仿真结果表明，在有限锚点(AH)的障碍物环境中，MLM的定位精度优于以往的定位方法。
This paper presents a novel technique for multi-hop localization by using mobility (MLM) in mixed line-of-sight/non-line-of-sight (LOS/NLOS) environments. In MLM, nodes equipped with ultra-wideband (UWB) radio first move randomly for collecting time-of-arrival (TOA) measurements and then apply a modified biased Kalman filter (MBKF) designed for mitigating NLOS errors. NLOS bias in the measurements is further mitigated by using the shortest path distance (SPD) selection. Node positions are initialized by using multidimensional scaling (MDS) and then estimated by using iterative trilateration accompanied by an error accumulation management. Our simulation results demonstrate that the positioning accuracy of MLM outperforms previous methods in obstructed building environments with a limited anchor heard (AH).