Researchers at MPEI unveil a self-contained radio navigation solution for drones
An advanced radio navigation system has been developed by researchers at the National Research University MPEI that enables unmanned aerial vehicles to determine their position without relying on GLONASS or GPS satellite signals. The project’s progress and core concepts were shared via the Telegram channel Bespilot, highlighting the practical value and potential impact of this technology.
The innovation combines software and hardware into a cohesive complex designed to provide accurate positioning in both two and three dimensions with decimetric precision. It uses an ultra-wideband radio signal, and its distinctive capability comes from estimating delays caused by signal reflections within the operating area. By analyzing how signals bounce through the environment, the system computes precise coordinates even when satellites are unavailable or degraded.
Designed for situations where satellite navigation cannot be trusted, the MPEI solution aims to keep drones oriented and safe in complex environments. Prospective applications span manufacturing floors, automated warehouses, and industrial zones where conventional satellite signals may be blocked or weakened by physical obstacles or interference.
From a hardware standpoint, the architecture places radio transmitters around the workspace and attaches radio tags to the drones themselves. This setup creates a navigational field that can cover roughly one square kilometer, delivering steady guidance and reliable positioning in challenging settings where traditional methods falter.
Officials at MPEI have indicated strong interest from companies that work on algorithms for coordinated drone navigation. The system’s potential to enable multi-UAV coordination, or drone swarms, aligns with growing demands for scalable, autonomous aerial operations across various sectors.
In related coverage, there was mention of an autonomous drone project incorporating artificial intelligence aimed at tracking individuals. This broader look at AI-assisted drone capabilities underscores the rapidly evolving landscape of unmanned flight research and its strategic implications for industry and public safety.