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Height dependent TOA ranging error model for near ground localization applications

机译:高度相关的TOA测距误差模型,用于近地定位应用

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Near ground localization is a special type of localization scenario that is widely considered in both academic and industry. A proper way to describe time-of-arrival (TOA) ranging error for near ground localization applications has been in a strong demand since early 2010s. In this paper, we proposed a mathematical model for near ground TOA ranging error based on empirical measurement. According to investigation and analysis on the empirical data, the TOA ranging error can be modeled as a Gaussian random variable and its mean and variance depends on both the antenna height and the distance between reference node and target node. To further emphasize the value of this model, Cramer-Rao Lower Bound for two dimensional (2D) near ground localization has been calculate using the proposed error model as a typical case study. It is shown that the near ground TOA ranging error model is essential for algorithm design and system performance evaluation.
机译:近地本地化是一种特殊类型的本地化方案,在学术界和行业中都被广泛考虑。自2010年代初以来,一直强烈需要一种描述近地定位应用的到达时间(TOA)测距误差的正确方法。在本文中,我们基于经验测量提出了近地面TOA测距误差的数学模型。根据对经验数据的调查和分析,可以将TOA测距误差建模为高斯随机变量,其均值和方差取决于天线高度以及参考节点与目标节点之间的距离。为了进一步强调该模型的价值,已使用建议的误差模型作为典型案例研究,计算了二维(2D)接近地面定位的Cramer-Rao下界。结果表明,近地面TOA测距误差模型对于算法设计和系统性能评估至关重要。

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