2018/05/02 by Kristina Gligorić, Manisha Ajmani, Gligoric, Kristina +5
Engineering · #FOS: Computer and information sciences #Indoor and Outdoor Localization Technologies #Information Theory (cs.IT) #Optical Wireless Communication Technologies #Power Line Communications and Noise
paper · pdf · doi:10.48550/arxiv.1805.01001
openalex publication_date 2018/05/02 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
This paper presents an approach for visible light communication-based indoor\npositioning using compressed sensing. We consider a large number of light\nemitting diodes (LEDs) simultaneously transmitting their positional information\nand a user device equipped with a photo-diode. By casting the LED signal\nseparation problem into an equivalent compressed sensing framework, the user\ndevice is able to detect the set of nearby LEDs using sparse signal recovery\nalgorithms. From this set, and using proximity method, position estimation is\nproposed based on the concept that if signal separation is possible, then\noverlapping light beam regions lead to decrease in positioning error due to\nincrease in the number of reference points. The proposed method is evaluated in\na LED-illuminated large-scale indoor open-plan office space scenario. The\npositioning accuracy is compared against the positioning error lower bound of\nthe proximity method, for various system parameters.\n