A statistical estimation analysis of indoor positioning WLAN based fingerprinting

2017 IEEE 23rd International Symposium for Design and Technology in Electronic Packaging (SIITME) Pub Date : 2017-10-01 DOI:10.1109/SIITME.2017.8259898

D. Năstac, Florentin Alexandru Iftimie, O. Arsene, Costei Cherciu

引用次数: 3

Abstract

The indoor positioning is a new topic in today's navigation and positioning research fields, which presents quite various challenging issues. A statistical approach to treat Wireless Local Area Network (WLAN) based fingerprinting using Received Signal Strengths (RSS) is described here. This study structures this approach as a time-series of the RSS and position data. Kalman filter is applied in order to improve the position prediction based on the measured RSS signal.

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基于指纹识别的室内定位无线局域网统计估计分析

室内定位是当今导航定位研究领域的一个新课题，提出了许多具有挑战性的问题。本文描述了一种使用接收信号强度(RSS)处理基于无线局域网(WLAN)指纹的统计方法。本研究将此方法构建为RSS和位置数据的时间序列。为了改进基于实测RSS信号的位置预测，采用了卡尔曼滤波。

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

2017 IEEE 23rd International Symposium for Design and Technology in Electronic Packaging (SIITME)

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