RF-KELM Indoor Positioning Algorithm Based on WiFi RSS Fingerprint

IF 3.4 3区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY

Measurement Science and Technology Pub Date : 2023-12-22 DOI:10.1088/1361-6501/ad1873

Bingnan Hou, Yanchun Wang

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引用次数: 0

Abstract

WiFi-based fingerprint indoor positioning technology has been widely concerned, but it has been facing the challenge of lack of robustness to signal changes, and the positioning service requires fast and accurate positioning estimation. Therefore, an RF-KELM positioning algorithm with good comprehensive performance is proposed in this paper. Both offline and online phases are included by this algorithm. In the offline phase, the original data of WiFi fingerprint is first transformed into a form more suitable for positioning. Then, AP selection is performed on the fingerprint database containing many useless access points (APs), in which random forest algorithm (RF) which can evaluate the importance of features is used. Finally, the KELM algorithm is trained with the sub-database that have undergone data transformation and AP selection. In the online phase, firstly, the obtained signal is processed, and then the trained KELM is used to predict the position of the data processed signal. In this paper, the performance of the proposed RF-KELM positioning algorithm is thoroughly tested on a publicly available dataset, and the experimental results demonstrate that the proposed algorithm not only has high positioning accuracy and robustness, but also takes only 0.08 s to position online.

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基于 WiFi RSS 指纹的 RF-KELM 室内定位算法

基于 WiFi 的指纹室内定位技术已受到广泛关注，但它一直面临着对信号变化缺乏鲁棒性的挑战，而且定位服务要求快速、准确的定位估计。因此，本文提出了一种综合性能良好的 RF-KELM 定位算法。该算法包括离线和在线两个阶段。在离线阶段，首先将 WiFi 指纹的原始数据转换成更适合定位的形式。然后，在包含许多无用接入点（AP）的指纹数据库中进行接入点选择，其中使用了可评估特征重要性的随机森林算法（RF）。最后，利用经过数据转换和接入点选择的子数据库训练 KELM 算法。在在线阶段，首先对获得的信号进行处理，然后使用训练好的 KELM 预测数据处理后信号的位置。本文在一个公开的数据集上对所提出的 RF-KELM 定位算法的性能进行了全面测试，实验结果表明，所提出的算法不仅具有较高的定位精度和鲁棒性，而且在线定位仅需 0.08 秒。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Measurement Science and Technology 工程技术-工程：综合

CiteScore

4.30

自引率

16.70%

发文量

656

审稿时长

4.9 months

期刊介绍： Measurement Science and Technology publishes articles on new measurement techniques and associated instrumentation. Papers that describe experiments must represent an advance in measurement science or measurement technique rather than the application of established experimental technique. Bearing in mind the multidisciplinary nature of the journal, authors must provide an introduction to their work that makes clear the novelty, significance, broader relevance of their work in a measurement context and relevance to the readership of Measurement Science and Technology. All submitted articles should contain consideration of the uncertainty, precision and/or accuracy of the measurements presented. Subject coverage includes the theory, practice and application of measurement in physics, chemistry, engineering and the environmental and life sciences from inception to commercial exploitation. Publications in the journal should emphasize the novelty of reported methods, characterize them and demonstrate their performance using examples or applications.