Multi-precision Indoor Location System Based on Ultrasonic and ZigBee

2012 ◽  
pp. 193-199 ◽  
Author(s):  
Lei Zhang ◽  
Yang Tian ◽  
Xiaomei Yu
Keyword(s):  
Indoor Location ◽  
Location System

An indoor location system based on neural network and genetic algorithm

2015 ◽  
Vol 19 (3/4) ◽  
pp. 204 ◽  
Author(s):  
R.C. Chen ◽  
S.W. Huang ◽  
Y.C. Lin ◽  
Q.F. Zhao
Keyword(s):  
Neural Network ◽  
Genetic Algorithm ◽  
Indoor Location ◽  
Location System

Active RFID Indoor Location System Based on RSSI Ranging Correction

2013 ◽  
Vol 677 ◽  
pp. 449-454 ◽  
Author(s):  
Qing Bin Meng ◽  
Lan Ju ◽  
Jie Jin ◽  
Wei Xiang Li
Keyword(s):  
High Precision ◽  
Environmental Parameters ◽  
Statistical Calculation ◽  
Average Deviation ◽  
Active Rfid ◽  
Indoor Location ◽  
Location System ◽  
Statistical Experiments ◽  
Location Algorithm

For indoor location, an active RFID indoor location system is designed. The system is designed and implemented by using a RSSI-based ranging technology location algorithm. In this article, the author amended the RSSI ranging equation, proposed and implemented a way to extract and estimate the environmental parameters of specific application scenarios, and improved the accuracy of the RSSI ranging. After many statistical experiments, the results show that the system’s deviation can reach 10cm on the diagonal of the region, and about 30cm on the edge. Through statistical calculation, the average deviation of system position is about 10.6cm, which is a good location system of high precision. When implemented for different applications, this system has the advantages of simplicity and adaptability.

Evaluation of an RSS-based indoor location system

2011 ◽  
Vol 167 (1) ◽  
pp. 110-116 ◽  
Author(s):  
Yuri Álvarez López ◽  
Mª Elena de Cos Gómez ◽  
José Lorenzo Álvarez ◽  
Fernando Las-Heras Andrés
Keyword(s):  
Indoor Location ◽  
Location System
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