Research on Indoor Location Algorithm Based on WIFI

Gui-hua Yang, Shiming Fu
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引用次数: 7

Abstract

With the wide application of mobile Internet, location-based service demands are more and more extensive. In the indoor positioning technology, the location fingerprinting method based on WIFI is widely used because of its strong anti-interference ability, high positioning accuracy, long transmission distance and convenient use. The paper adopts the location fingerprint matching and localization algorithm. Firstly, the Gaussian filtering algorithm is applied to process the original data collected by WIFI, and a complete fingerprint database is built off line. Then, the WKNN algorithm is used for position matching to realize indoor position online positioning. The experimental results show that the positioning algorithm used has a significant improvement in positioning accuracy compared with the traditional position fingerprint algorithm.
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基于WIFI的室内定位算法研究
随着移动互联网的广泛应用,基于位置的服务需求越来越广泛。在室内定位技术中,基于WIFI的位置指纹识别方法因其抗干扰能力强、定位精度高、传输距离远、使用方便等优点被广泛应用。本文采用了位置指纹匹配和定位算法。首先,采用高斯滤波算法对WIFI采集的原始数据进行处理,建立完整的离线指纹数据库。然后,利用WKNN算法进行位置匹配,实现室内位置在线定位。实验结果表明,与传统的位置指纹算法相比,所采用的定位算法在定位精度上有显著提高。
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