| 基于RSSI的WiFi指纹定位数据融合算法研究 |
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| 引用本文： | 王孟妍,崔学荣,张国平,李娟,陈海华,黄庭培.基于RSSI的WiFi指纹定位数据融合算法研究[J].微型电脑应用,2020(3):1-3. |
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| 作者姓名： | 王孟妍 崔学荣 张国平 李娟 陈海华 黄庭培 |
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| 作者单位： | 中国石油大学（华东）计算机与通信工程学院 |
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| 基金项目： | 国家自然科学基金项目(61671482,61872385,61601519);中央高校基本科研业务费专项基金资助(17CX02042A,18CX02136A) |
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| 摘 要： | 目前已有的位置指纹室内定位算法大多都是建立在原始指纹数据库的基础上,指纹数据库的建立精度会直接影响到最后的定位精度,因此在基于WiFi的定位技术中,对接收信号强度(received signal strength indication,RSSI)的稳定性要求比较高。通过对指纹数据的研究,提出了一种基于高斯核函数融合卡尔曼滤波对数据进行预处理的方法。实验证明,该融合算法能有效剔除RSSI指纹数据中的突变数据和噪声波动,实现RSSI值的准确、平滑输出,从而建立准确的指纹数据库,使后期的定位结果更加精确。
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| 关 键 词： | 接收信号强度 高斯核函数 卡尔曼滤波 指纹数据库 |
Research on WiFi Fingerprint Location Algorithm Based on RSSI |
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| WANG Mengyan,CUI Xuerong,ZHANG Guoping,LI Juan,CHEN Haihua,HUANG Tingpei.Research on WiFi Fingerprint Location Algorithm Based on RSSI[J].Microcomputer Applications,2020(3):1-3. |
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| Authors: | WANG Mengyan CUI Xuerong ZHANG Guoping LI Juan CHEN Haihua HUANG Tingpei |
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| Affiliation: | (Department of Computer and Communication Engineering, China University of Petroleum (Huadong) |
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| Abstract: | Currently,most of the existing location fingerprint indoor positioning algorithms are based on the original fingerprint database.The accuracy of the fingerprint database will directly affect the final positioning accuracy.Therefore,in the positioning technology of WiFi,the stability of received signal strength indication(RSSI)is high relative.Based on the study of fingerprint data,the novel data processing algorithm that fuses Gaussian kernel function and Kalman filtering is proposed.The experiments verify that this fusion algorithm effectively eliminates the mutation data and noise fluctuation in RSSI data,and implements the precise and smooth output of RSSI.Thus an accurate fingerprint database can be established and it makes the later positioning results more accurate. |
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| Keywords: | RSSI Gaussian kernel function Kalman filter Fingerprint database |
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