Mоlimо vаs kоristitе оvај idеntifikаtоr zа citirаnjе ili оvај link dо оvе stаvkе:
https://open.uns.ac.rs/handle/123456789/1498
Nаziv: | Visible Light Communications-Based Indoor Positioning via Compressed Sensing | Аutоri: | Gligoric K. Ajmani M. Vukobratović, Dejan Sinanovic S. |
Dаtum izdаvаnjа: | 1-јул-2018 | Čаsоpis: | IEEE Communications Letters | Sažetak: | © 1997-2012 IEEE. This letter presents an approach for visible light communication-based indoor positioning using compressed sensing. We consider a large number of light emitting diodes (LEDs) simultaneously transmitting their positional information and a user device equipped with a photo diode. By casting the LED signal separation problem into an equivalent compressed sensing framework, the user device is able to detect the set of nearby LEDs using sparse signal recovery algorithms. From this set and using proximity method, position estimation is proposed based on the concept that if signal separation is possible, then the overlapping light beam regions lead to decrease in positioning error due to increase in the number of reference points. The proposed method is evaluated in a LED-illuminated large-scale indoor open-plan office space scenario. The positioning accuracy is compared against the positioning error lower bound of the proximity method, for various system parameters. | URI: | https://open.uns.ac.rs/handle/123456789/1498 | ISSN: | 10897798 | DOI: | 10.1109/LCOMM.2018.2833550 |
Nаlаzi sе u kоlеkciјаmа: | FTN Publikacije/Publications |
Prikаzаti cеlоkupаn zаpis stаvki
SCOPUSTM
Nаvоđеnjа
26
prоvеrеnо 06.05.2023.
Prеglеd/i stаnicа
17
Prоtеklа nеdеljа
7
7
Prоtеkli mеsеc
0
0
prоvеrеnо 10.05.2024.
Google ScholarTM
Prоvеritе
Аlt mеtrikа
Stаvkе nа DSpace-u su zаštićеnе аutоrskim prаvimа, sа svim prаvimа zаdržаnim, оsim аkо nije drugačije naznačeno.