Session
Technical Poster Session 5
Location
Utah State University, Logan, UT
Abstract
Laser communication systems have many advantages over conventional radio frequency (RF) systems. Using light instead of RF supports significantly higher communication data rates. However, such optical payloads are currently mainly used in non-optimised SatCom systems, and thus their full capabilities remain unexploited. In response to this Craft Prospect with CGI UK is focused on upgrading optical systems by using machine learning (ML) methods to improve link acquisition of laser communication terminals (LCTs) and to manage networked laser SatCom system outages.
Enhancement of Satellite Free-Space Laser Communication Systems Using Machine Learning Methods
Utah State University, Logan, UT
Laser communication systems have many advantages over conventional radio frequency (RF) systems. Using light instead of RF supports significantly higher communication data rates. However, such optical payloads are currently mainly used in non-optimised SatCom systems, and thus their full capabilities remain unexploited. In response to this Craft Prospect with CGI UK is focused on upgrading optical systems by using machine learning (ML) methods to improve link acquisition of laser communication terminals (LCTs) and to manage networked laser SatCom system outages.
