A high output magneto-mechano-triboelectric generator enabled by accelerated water-soluble nano-bullets for powering a wireless indoor positioning system

2019 ◽  
Vol 12 (2) ◽  
pp. 666-674 ◽  
Author(s):  
Kyung-Won Lim ◽  
Mahesh Peddigari ◽  
Chan Hee Park ◽  
Ha Young Lee ◽  
Yuho Min ◽  
...  
Keyword(s):  
High Performance ◽  
Indoor Positioning ◽  
Water Soluble ◽  
Triboelectric Nanogenerator ◽  
Positioning System ◽  
System P ◽  
Indoor Positioning System ◽  
Triboelectric Generator ◽  
High Output

A high-performance magneto-mechano-triboelectric nanogenerator (MMTEG) is demonstrated for powering a wireless indoor positioning system.

Indoor Positioning Using FM Radio

2012 ◽  
pp. 199-211
Author(s):  
Andrei Papliatseyeu ◽  
Venet Osmani ◽  
Oscar Mayora
Keyword(s):  
Experimental Study ◽  
High Performance ◽  
Short Range ◽  
Low Cost ◽  
Indoor Positioning ◽  
Positioning System ◽  
Fm Radio ◽  
Indoor Positioning System ◽  
Indoor Localisation

This paper presents an indoor positioning system based on FM radio. The system is built on commercially available short-range FM transmitters. This is the first experimental study of FM performance for indoor localisation. FM radio possesses a number of features, which make it distinct from other localisation technologies. Despite the low cost and off-the-shelf components, this FM positioning system reaches a high performance, comparable to other positioning technologies such as Wi-Fi. The authors’ experiments have yielded a median accuracy of 1.0 m and in 95% of cases the error is below 5 m.

Indoor Positioning Using FM Radio

2010 ◽  
Vol 1 (3) ◽  
pp. 19-31 ◽  
Author(s):  
Andrei Papliatseyeu ◽  
Venet Osmani ◽  
Oscar Mayora
Keyword(s):  
Experimental Study ◽  
High Performance ◽  
Short Range ◽  
Low Cost ◽  
Indoor Positioning ◽  
Positioning System ◽  
Fm Radio ◽  
Indoor Positioning System ◽  
Indoor Localisation

This paper presents an indoor positioning system based on FM radio. The system is built on commercially available short-range FM transmitters. This is the first experimental study of FM performance for indoor localisation. FM radio possesses a number of features, which make it distinct from other localisation technologies. Despite the low cost and off-the-shelf components, this FM positioning system reaches a high performance, comparable to other positioning technologies such as Wi-Fi. The authors’ experiments have yielded a median accuracy of 1.0 m and in 95% of cases the error is below 5 m.

scholarly journals High-Precision RTT-Based Indoor Positioning System Using RCDN and RPN

Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3701
Author(s):  
Ju-Hyeon Seong ◽  
Soo-Hwan Lee ◽  
Won-Yeol Kim ◽  
Dong-Hoan Seo
Keyword(s):  
High Precision ◽  
Distance Estimation ◽  
Sampling Period ◽  
Multipath Fading ◽  
Indoor Positioning ◽  
Positioning System ◽  
Positioning Systems ◽  
Positioning Errors ◽  
Location Determination ◽  
Indoor Positioning System

Wi-Fi round-trip timing (RTT) was applied to indoor positioning systems based on distance estimation. RTT has a higher reception instability than the received signal strength indicator (RSSI)-based fingerprint in non-line-of-sight (NLOS) environments with many obstacles, resulting in large positioning errors due to multipath fading. To solve these problems, in this paper, we propose high-precision RTT-based indoor positioning system using an RTT compensation distance network (RCDN) and a region proposal network (RPN). The proposed method consists of a CNN-based RCDN for improving the prediction accuracy and learning rate of the received distances and a recurrent neural network-based RPN for real-time positioning, implemented in an end-to-end manner. The proposed RCDN collects and corrects a stable and reliable distance prediction value from each RTT transmitter by applying a scanning step to increase the reception rate of the TOF-based RTT with unstable reception. In addition, the user location is derived using the fingerprint-based location determination method through the RPN in which division processing is applied to the distances of the RTT corrected in the RCDN using the characteristics of the fast-sampling period.

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