Please use this identifier to cite or link to this item: https://accedacris.ulpgc.es/handle/10553/139719
Title: Experimental characterization of sub-pixel underwater optical camera communications
Authors: Majlesein, Behnaz
Matus, Vicente 
Jurado-Verdu, Cristo 
Guerra, Victor 
Rabadán, José A. 
Rufo, Julio 
UNESCO Clasification: 3307 Tecnología electrónica
Keywords: Underwater Wireless Optical Communication
Underwater Wireless Sensor Networks
Optical Camera Communication
Global Shutter
Point Spread Function, et al
Issue Date: 2022
Conference: International Symposium On Communication Systems, Networks And Digital Signal Processing. 13. 2022
Abstract: Underwater Wireless Optical Communication (UWOC) is a promising technology to enable underwater communications for exploring and monitoring marine activities due to its high bandwidth and low latency. Furthermore, underwater optical camera communication (UOCC) takes advantage of light-emitting diodes (LEDs) and cameras already embedded in underwater devices (e.g., drones). In this work, a global shutter-based UOCC system is experimentally tested under a sub-pixel condition, where the dimensions of the LED in the image plane (in mu m) are smaller than a single pixel. Although the LED projection dimensions are less than a single pixel, the incoming light irradiance spreads over a limited image sensor area. The results reveal that a 2 m link with a bit rate of 8 bps per channel (24 bps in total) can be attained using an RGB LED as a transmitter and a digital camera as a receiver by applying the point spread function for the demodulation. The validation of this system in sub-pixel conditions guarantees the operation of long-distance UOCC links, where extensive LED sources are perceived as single points in the image. In addition, as the LED dimensions in the image plane are significantly small, the camera can effectively accommodate several transmitters, increasing the link throughput considerably.
URI: https://accedacris.ulpgc.es/handle/10553/139719
DOI: 10.1109/CSNDSP54353.2022.9907903
Source: 13Th International Symposium On Communication Systems, Networks And Digital Signal Processing, CSNDSP
Appears in Collections:Actas de congresos
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