5G系统中基于动态DRSS模型的室内定位

IF 5.9 2区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
He Zhu;Kun Zhao;Chao Yu;Xichao Yang
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引用次数: 0

摘要

基于接收信号强度(RSS)的定位方法因其成本效益和广泛的设备兼容性而广泛应用于5G系统的室内定位场景。然而,路径损耗模型中的路径损耗指数(PLE)对定位环境高度敏感,在实际应用中精确测量参考点的参考信号接收功率(RSRP)仍然是一个挑战。因此,在不同的定位应用场景中,需要对参考点和PLE点的RSRP进行连续测量和调整。否则会降低定位精度。在本文中,我们首先采用RSS (DRSS)的动态差分模型来消除参考点上RSRP测量误差的影响。该模型还处理了同一本地化场景中不同位置的PLE变化,以及环境中PLE的动态变化。随后,提出了定位坐标判定器,迭代更新UE位置并确定当前UE的最优PLE。最后,在最优PLE下,利用具有动态精英保留机制的遗传算法获得UE的定位坐标。实验验证使用公开可用的5G模拟数据集和实际数据进行。结果表明,所提出的动态DRSS模型的均方根误差(RMSE)为2.44 m,比现有技术高出29%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Indoor Localization Using Dynamic DRSS Model in 5G System
Received signal strength (RSS)-based localization methods are widely used in indoor positioning scenarios within 5G systems due to their cost-effectiveness and broad device compatibility. However, the path loss exponent (PLE) in the path loss model is highly sensitive to the localization environment, and precisely measuring the reference signal received power (RSRP) at the reference point remains challenging in practice. Consequently, in different localization application scenarios, continuous measurement and adjustment of the RSRP at the reference point and the PLE are required. Otherwise, the localization accuracy will be degraded. In this article, we first employ a dynamic difference of RSS (DRSS) model to eliminate the impact of RSRP measurement errors at the reference point. The model also addresses variations in PLE at different locations within the same localization scenario, as well as dynamic changes in PLE within the environment. Subsequently, a localization coordinate adjudicator is proposed to iteratively update the UE position and determine the optimal PLE for the current UE. Finally, under the optimal PLE, the UE’s localization coordinates are obtained using a genetic algorithm with a dynamic elite retention mechanism. Experimental validation was performed using both publicly available 5G simulation datasets and real-world data. The results show that the proposed dynamic DRSS model achieves a root mean square error (RMSE) of 2.44 m, outperforming existing techniques by 29%.
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来源期刊
IEEE Transactions on Instrumentation and Measurement
IEEE Transactions on Instrumentation and Measurement 工程技术-工程:电子与电气
CiteScore
9.00
自引率
23.20%
发文量
1294
审稿时长
3.9 months
期刊介绍: Papers are sought that address innovative solutions to the development and use of electrical and electronic instruments and equipment to measure, monitor and/or record physical phenomena for the purpose of advancing measurement science, methods, functionality and applications. The scope of these papers may encompass: (1) theory, methodology, and practice of measurement; (2) design, development and evaluation of instrumentation and measurement systems and components used in generating, acquiring, conditioning and processing signals; (3) analysis, representation, display, and preservation of the information obtained from a set of measurements; and (4) scientific and technical support to establishment and maintenance of technical standards in the field of Instrumentation and Measurement.
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