迭代延迟补偿算法减轻NLOS对定位的影响

K. Enda, R. Kohno
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引用次数: 3

摘要

对于传感器网络来说,准确地估计传感器标签是非常重要的,例如RFID。到达时间差(TDOA)定位算法是众所周知的传感器标签定位算法。因此,在非视线环境下,传统的线性搜索算法的定位精度大大降低。本文提出了一种基于TDOA的迭代NLOS延迟补偿算法,以满足NLOS环境中损坏传播的高精度要求。首先用常规TDOA法估计临时位置,估计传输开始时间。然后,通过延迟补偿函数(DCOMF)补偿传输开始时间与节点到达时间之间的时间差,并通过可靠性权重函数(RELF)决定各节点的可靠性。最后,采用限制方法对严重非目视环境下出现的异常误差进行了改进。通过这些迭代过程,提高了定位精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Iterative delay compensation algorithm to mitigate NLOS influence for positioning
It is important for sensor networks to estimate the sensor tag accurately, for example, RFID. Time difference of arrival (TDOA) positioning algorithm is well known as the positioning algorithm of the sensor tag. Therefore, the positioning accuracy of conventional linear search algorithm is decreased exceedingly in non-line-of sight (NLOS) environment. In this paper, we propose the iterative NLOS delay compensation algorithm based on TDOA in order to fulfill high accuracy in the damaged propagation through NLOS environment. At first, the temporary position is estimated by normal TDOA method and transmission start time is estimated. Next, the time difference between transmission start time and node arrival time is compensated by delay compensation function (DCOMF), and reliability of each node is decided by reliability weight function (RELF). Finally, abnormal error occurred in serious NLOS environment is improved by limitation method. By those iterative processes, the positioning accuracy is improved.
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