文章基本信息

标题：OPTIMAL STATION DISTRIBUTION FOR CLOSED FORM TDOA MEASUREMENT
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作者：M. F. M. MAHYUDDIN ; A. A. M. ISA ; N. HASSAN 等
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2020
卷号：98
期号：11
页码：1842-1853
出版社：Journal of Theoretical and Applied
摘要：Mobile communication is one of the main areas of telecommunications and it is evolving incredibly rapidly today, thanks to improvements in technology in all areas of mobile and wireless communications. The use of positioning methods is now widely used in many applications such as navigation, mobility, emergency services and also used for warfare in the army. To detect the user in a very accurate place, the significance of the positioning methods is needed. Global Positioning System (GPS) is the most commonly used and acknowledged positioning system, but it has some constraints on outdoor place and forest / mountain region. Many methods of geo-location predate and were suggested as an alternative to GPS. Some of the positioning methods are the arrival time difference (TDOA), which uses the hyperbolic technique of place to predict the user's location. In closed form time difference of arrival (TDOA) positioning system locating the moving target in 2D, 3D (same and different altitude), at least five stations are required. Positioning accuracy is significantly affected by position station distribution. First, a positioning accuracy model is created and the factors influencing positioning accuracy are evaluated in line-of-sight (LOS) settings through the study of the TDOA location system principle. Geometric dilution of precision (GDOP) is a standard for determining a system's efficiency. There are eight different models of distribution of geometric dilution of precision (GDOP) for five station. Finally, in this paper, the optimal distribution principle of five-station in 2D, 3D (with same and different altitude) are presented with comparison with each of the distribution.
关键词：Time Difference Of Arrival;Geometric Dilution Of Precision;Optimal Distribution;Passive Location;Positioning