AI Technologies for Drone Operations in Jamming Environments
| Reference number | |
| Coordinator | Wireless P2P Technologies AB |
| Funding from Vinnova | SEK 2 251 560 |
| Project duration | November 2024 - October 2025 |
| Status | Ongoing |
| Venture | Civil-military synergies |
| Call | Collaborative project for civil-military synergies |
Purpose and goal
This project aims to carry out a feasibility study and field testing with using an existing cognitive radio platform based on Software-Defined Radio (SDR). The project will explore the application of advanced AI/ML algorithms to detect intentional jamming by technologically skilled adversaries. The focus is on equipping drone users with advanced detection and identification capabilities to reduce drone losses and improve situational awareness in the RF domain.
Expected effects and result
The expected results are an increased efficiency and survivability of drones in jamming environments through the use of efficient and RF domain-aware machine learning techniques.
Planned approach and implementation
The project consists of four phases: AP1, project management, running from November 2024 to October 2025, with a mid-term evaluation and final report. AP2 and AP3 focus on the development and evaluation of ML-based interference detection on synthetic and real data, respectively, conducted from November 2024 to August 2025. AP4, future work, identifies continued research on the application of ML for robust drone operations in disrupted environments, concluding with a final report in October 2025.