RFID - Hybrid Scene Analysis-Neural Network System for 3D Indoor Positioning

被引：0
|
作者：
Jachimczyk, Bartosz [1 ]
Dziak, Damian [1 ]
Kulesza, Wlodek J. [2 ]
机构：
[1] Gdansk Univ Technol, Fac Elect & Control Engn, Gdansk, Poland
[2] Inst Appl Signal Proc, Blekinge Inst Technol, Karlskrona, Sweden
来源：
2014 IEEE INTERNATIONAL INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE (I2MTC) PROCEEDINGS | 2014年
关键词：
optimization; radiofrequency identification; reader configuration; RFID network planning; ASSET TRACKING;
D O I：
暂无
中图分类号：
TH7 [仪器、仪表];
学科分类号：
0804 ; 080401 ; 081102 ;
摘要：
The purpose of this research is to find an optimal number and configuration of readers in RFID based 3D Indoor Positioning System. The system applies a Hybrid Scene Analysis Neural Network algorithm to estimate target's position with a desired accuracy. The system's accuracy and cost depend on a number of utilized readers and their arrangement. Readers' deployment is crucial for the localization accuracy too. The system optimization enhances the system cost-efficiency. The arrangement analysis was based on simulations and validated by physical experiment. The results of this research define a tradeoff between a number of readers and their deployment and the system performance in terms of localization accuracy.
引用
收藏
页码：191 / 196
页数：6
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