基于精度几何稀释的超宽带室内定位系统锚点选择

IF 1.5 Q3 TELECOMMUNICATIONS
Abbas Albaidhani, Ahlam Alsudani
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引用次数: 12

摘要

在无线定位系统中,提高定位估计的性能是一个重要的目标。近年来,使用超宽带(UWB)技术的不同定位系统已经被创建,并且总是需要一个评估指标来测试这些系统,以确保系统适合特定的应用。此外,在利用超宽带技术时,通常需要一种非视距(NLOS)识别和缓解方法。均方误差(MSE)和几何精度稀释(GDOP)评价指标被广泛应用于选择完美系统的标准。在恶劣环境下,利用超宽带技术提出了一种室内定位系统的新算法,该算法不需要实现任何NLOS识别和缓解技术,并在线评估了定位精度。利用超宽带对具有随机分布的n个锚节点的移动站M进行通信,利用组合方法聚类,形成不同的分组,然后每组利用传统的线性化最小二乘(LLS)方法对M进行定位。然后,选取定位误差最小的一组,对所选组使用改进的LLS对M进行重新定位,以提高定位精度。在过去十年中,所创建的系统在时间、复杂性和准确性方面优于市场上的其他IP系统。该IP系统在硬环境下的定位误差约为25 cm2的MSE,比市场上最近推出的其他IP系统的定位误差要小。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Anchor selection by geometric dilution of precision for an indoor positioning system using ultra-wide band technology

Anchor selection by geometric dilution of precision for an indoor positioning system using ultra-wide band technology

In wireless localization systems, the performance enhancement of location estimation is an important goal. In recent years, different positioning systems using an ultra-wide band (UWB) technology have been created, and always an evaluation metric to test such systems is needed for ensuring a suitable system for a specified application. Also, a non-line-of-sight (NLOS) identification and mitigation method is needed usually when utilizing the UWB technology. The mean-square-error (MSE) and geometric dilution of precision (GDOP) evaluation metrics are widely implemented as standard for choosing a perfect system. In a harsh environment, a novel algorithm of indoor positioning (IP) system is presented using the UWB technology without implementing any NLOS identification and mitigation technique and the localization accuracy is evaluated online. The UWB is used to communicate a mobile station (M) with n anchor nodes distributed randomly and clustered by utilizing a combination method to create different groups, and then a conventional linearized least square (LLS) method is utilized by each group for locating M. A weighted GDOP metric is implemented online to assess the positioning accuracy of each group. Then, the group having the lowest positioning error among other groups is selected to relocate M using a proposed LLS, named modified LLS, for the selected group to enhance the positioning accuracy. The created system outperforms different IP systems in the market for the last decade in terms of time, complexity, and accuracy. The created IP system has a positioning error around 25 cm2 of MSE in a hard environment, which is less than those of different IP systems created recently in the market.

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来源期刊
IET Wireless Sensor Systems
IET Wireless Sensor Systems TELECOMMUNICATIONS-
CiteScore
4.90
自引率
5.30%
发文量
13
审稿时长
33 weeks
期刊介绍: IET Wireless Sensor Systems is aimed at the growing field of wireless sensor networks and distributed systems, which has been expanding rapidly in recent years and is evolving into a multi-billion dollar industry. The Journal has been launched to give a platform to researchers and academics in the field and is intended to cover the research, engineering, technological developments, innovative deployment of distributed sensor and actuator systems. Topics covered include, but are not limited to theoretical developments of: Innovative Architectures for Smart Sensors;Nano Sensors and Actuators Unstructured Networking; Cooperative and Clustering Distributed Sensors; Data Fusion for Distributed Sensors; Distributed Intelligence in Distributed Sensors; Energy Harvesting for and Lifetime of Smart Sensors and Actuators; Cross-Layer Design and Layer Optimisation in Distributed Sensors; Security, Trust and Dependability of Distributed Sensors. The Journal also covers; Innovative Services and Applications for: Monitoring: Health, Traffic, Weather and Toxins; Surveillance: Target Tracking and Localization; Observation: Global Resources and Geological Activities (Earth, Forest, Mines, Underwater); Industrial Applications of Distributed Sensors in Green and Agile Manufacturing; Sensor and RFID Applications of the Internet-of-Things ("IoT"); Smart Metering; Machine-to-Machine Communications.
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