Real-Time RFID Indoor Positioning System Based on Kalman-Filter Drift Removal and Heron-Bilateration Location Estimation

2015 ◽  
Vol 64 (3) ◽  
pp. 728-739 ◽  
Author(s):  
Chung-Hao Huang ◽  
Lun-Hui Lee ◽  
Chian C. Ho ◽  
Lang-Long Wu ◽  
Zu-Hao Lai
Keyword(s):  
Kalman Filter ◽  
Real Time ◽  
Indoor Positioning ◽  
Location Estimation ◽  
Positioning System ◽  
Indoor Positioning System

scholarly journals Vision-Based Real-Time Indoor Positioning System for Multiple Vehicles

2020 ◽  
Vol 53 (2) ◽  
pp. 15446-15453
Author(s):  
Maximilian Kloock ◽  
Patrick Scheffe ◽  
Isabelle Tülleners ◽  
Janis Maczijewski ◽  
Stefan Kowalewski ◽  
...  
Keyword(s):  
Real Time ◽  
Indoor Positioning ◽  
Positioning System ◽  
Multiple Vehicles ◽  
Indoor Positioning System

scholarly journals Practical Fingerprinting Localization for Indoor Positioning System by Using Beacons

2017 ◽  
Vol 2017 ◽  
pp. 1-16 ◽  
Author(s):  
Santosh Subedi ◽  
Jae-Young Pyun
Keyword(s):  
Estimation Error ◽  
Indoor Positioning ◽  
Location Estimation ◽  
Reference Points ◽  
Ultra Wideband ◽  
Positioning System ◽  
Localization Method ◽  
Weighted Centroid Localization ◽  
Time Required ◽  
Indoor Positioning System

Recent developments in the fields of smartphones and wireless communication technologies such as beacons, Wi-Fi, and ultra-wideband have made it possible to realize indoor positioning system (IPS) with a few meters of accuracy. In this paper, an improvement over traditional fingerprinting localization is proposed by combining it with weighted centroid localization (WCL). The proposed localization method reduces the total number of fingerprint reference points over the localization space, thus minimizing both the time required for reading radio frequency signals and the number of reference points needed during the fingerprinting learning process, which eventually makes the process less time-consuming. The proposed positioning has two major steps of operation. In the first step, we have realized fingerprinting that utilizes lightly populated reference points (RPs) and WCL individually. Using the location estimated at the first step, WCL is run again for the final location estimation. The proposed localization technique reduces the number of required fingerprint RPs by more than 40% compared to normal fingerprinting localization method with a similar localization estimation error.

A Real-Time Indoor Positioning System Based on Wi-Fi RTT and Multi-source Information

2021 ◽  
pp. 439-449
Author(s):  
Lu Huang ◽  
Baoguo Yu ◽  
Jun Li ◽  
Heng Zhang ◽  
Shuang Li ◽  
...  
Keyword(s):  
Real Time ◽  
Indoor Positioning ◽  
Positioning System ◽  
Source Information ◽  
Indoor Positioning System
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