基于指纹识别的无线局域网室内定位系统中由于设备异构导致的RSS变化的有效解决方案

2021 Palestinian International Conference on Information and Communication Technology (PICICT) Pub Date : 2021-09-01 DOI:10.1109/PICICT53635.2021.00024

I. H. Alshami, Noor Azurati Ahmad, S. Sahibuddin

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引用次数: 0

摘要

指纹识别方法由于其有效性和无线局域网低成本的基础设施而被广泛应用于基于无线局域网的室内定位。然而，基于接收信号强度(RSS)的WLAN指纹识别由于移动设备的异质性，即使在同一位置和同一时间，每个设备读取的RSS也不同，因此准确性会下降。本文提出了RSS确定性(RSC)作为一种有效的解决方案，以接收信号的强度变化，因为设备的异质性。理论和实验证明了RSC的有效性，使定位精度提高了10%以上。基于rsc的定位性能对比了最近提出的处理设备异质性影响的文献，如Weight-RSS (wRSS);结果表明，基于信号强度差(SSD)和双曲位置指纹(HLF)的定位方法具有最佳的定位精度。

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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RSS Certainty: An Efficient Solution for RSS Variation due to Device Heterogeneity in WLAN Fingerprinting-based Indoor Positioning System

Fingerprinting method has been adopted widely for WLAN-based indoor positioning because of its effectiveness and the low-cost infrastructure of WLAN. However, the WLAN fingerprinting, based on the received signal strength (RSS), accuracy will be declined due to mobile devices heterogeneity since each device reads RSS differently even at the same location and the same time. This paper presents RSS Certainty (RSC) as an efficient solution for received signal strength variation because of device heterogeneity. The efficiency of RSC has been proved theoretically and experimentally it increases the positioning accuracy by more than 10%. RSC-based positioning performance evaluated against the most recent literatures which were proposed to handle the effect of the device heterogeneity such as Weight-RSS (wRSS); Signal Strength Difference (SSD) and Hyperbolic Location Fingerprinting (HLF), and the results show that RSC-based positioning has the best accuracy.

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2021 Palestinian International Conference on Information and Communication Technology (PICICT)

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