\(E^3\) : Efficient Error Estimation for Fingerprint-Based Indoor Localization System

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• 关键词：Wireless fingerpring ; Indoor localization ; Error estimation ; Gaussian process
• 刊名：Lecture Notes in Computer Science
• 出版年：2017
• 出版时间：2017
• 年：2017
• 卷：10135
• 期：1
• 页码：307-316
• 丛书名：Smart Computing and Communication
• ISBN：978-3-319-52015-5
• 卷排序：10135

文摘

Wireless indoor localization has attracted extensive research recently due to its potential for large-scale deployment. However, the performances of different systems vary and it is difficult to compare these systems systematically in different indoor scenarios. In this work, we propose \(E^3\), a Gaussian process based error estimation approach for fingerprint-based wireless indoor localization systems. With an efficient error estimation algorithm, \(E^3\) is able to efficiently estimate the localization errors of the localization systems without requiring the expensive site evaluations. Our evaluation results show that the proposed approach efficiently estimates the performance of fingerprint-based indoor localization systems and can be used as an efficient tool to tune system parameters.