基于阈值的蜂窝系统MIMO TOA位置估计

Tomofumi Yabu, S. Hara, R. Zemek, T. Derham
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引用次数: 1

摘要

在蜂窝系统中,多输入多输出(MIMO)技术不仅增加了空间复用数据发送/接收的链路数量,而且还同时测量了基站(BS)和移动站(MS)之间的距离。因此,如果将MIMO技术应用到基于系统的位置估计中,必须提高位置估计的精度。对基于阈值的到达时间(TOA)定位估计方法在蜂窝系统中的性能进行了评价。对定位估计误差的计算机仿真结果表明,在不使用阈值的情况下,选择方法是一种合适的选择,而在可以根据信噪比(CNR)优化调整阈值的情况下,选择平均方法是一种合适的选择。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A threshold-based MIMO TOA location estimation for cellular systems
In a cellular system, Multiple-Input/Multiple-Output (MIMO) technique increases the number of links for not only spatially multiplexing data to transmit/receive but also measuring the distance between a base station (BS) and a mobile station (MS) at the same time. Therefore, if the MIMO technique is applied to a system-based location estimation, it must improve the accuracy of location estimate. This paper evaluates the performances of threshold-based Time of Arrival (TOA) location estimation methods in cellular systems. Computer simulation results on the location estimation error reveal that, if we employ no threshold, the selection method is a proper choice, whereas if we can optimally adjust the threshold according the Carrier-to-Noise power Ratio (CNR), the average method is a proper choice.
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