Cognitive Reconfigurable Embedded Systems Lab
UAV Swarms Distributed Beamforming for Range Extension
The mobility and ease of deployment of unmanned aerial vehicles lead to their widespread adoption in many applications like wildlife monitoring, search and rescue, and disaster management. Many of these applications require the deployment of a swarm of collaborating UAVs in remote areas with no communications infrastructure. To establish a long range communications link, the UAVs need to collaborate to send the same signal, a scheme known as distributed beamforming. For a signal, from separate transmitters to combine coherently at the destination, their transmissions need to be time synchronized and their carriers aligned in phase and frequency. Flying UAVs need to achieve this synchronization over the air in a manner robust to their motion. In this study, we have two goals:
1) We analyze the synchronization requirements for distributed beamforming, the impact of UAV motion, along with their impact of post beamforming SNR. We develop distributed synchronization algorithms to meet these requirements and simulate their performance.
2) We implement these algorithms using software-defined-radios. UAV testbeds are built and used to prototype the proposed concepts. Using the performed experiments, we identify the performance bottlenecks and challenges and use them for further improvements.