RSSI optimization method for indoor positioning systems

被引：0
|
作者：
Aiboud, Youssef [1 ]
Elhassani, Issam [1 ,2 ]
Griguer, Hafid [1 ]
Drissi, M'hamed [2 ]
机构：
[1] EMSI Rabat, SMARTi Lab, Rabat, Morocco
[2] INSA Rennes, UEB, IETR, Rennes, France
来源：
2015 27TH INTERNATIONAL CONFERENCE ON MICROELECTRONICS (ICM) | 2015年
关键词：
Received signal strength indication; RSSI; adaptive filtering; Median filter; Kalman filter; Indoor positioning system; Trilateration;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The aim of this study is to develop a new method for optimizing Received Signal Strength Indicator (RSSI) vaguely used in Indoor Positioning Systems and to compare it to other existing methods. Adaptive filtering, such as Kalman filter, are one of the most used methods for RSSI filtering alongside the median filter. Our approach is to use a new algorithm that restricts the RSSI fluctuation in short periods of time to a changing median range that is calculated based on pervious states. The implementation of the new algorithm is done on Matlab IDE.
引用
收藏
页码：246 / 248
页数：3
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