Height Dependent Toa Ranging Error Model For Near Ground Localization Applications
2014 IEEE 25th Annual International Symposium on Personal, Indoor, and Mobile Radio Communication (PIMRC)(2014)
Abstract
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.
MoreTranslated text
Key words
height dependent TOA ranging error model,2D near ground localization applications,time of arrival,mathematical model,Gaussian random variable,mean,variance,antenna height,antenna distance,Cramer-Rao lower bound,system performance evaluation
AI Read Science
Must-Reading Tree
Example
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined