Abstract:
Multi-UAV passive localization via received signal strength (RSS) is crucial for rescue and battlefield combat. This UAV-enabled application faces a major challenge: UAV energy consumption. Communication overhead usually affects energy consumption.
To solve this, we design two distributed methods for this multi-UAV system with high performance and low communication overhead. DMM is proposed first. A tight upper bound of the primary objective function accelerates convergence.
A Fisher information matrix (DEF)-based distributed estimation scheme requires only one round of communication between edge UAVs and central UAV.
Simulations show that the proposed DMM outperforms distributed iterative methods in root mean square error (RMSE) under low communication overhead. The most communication-effective DEF with local search estimation outperforms the proposed DMM in RMSE but requires more computation.
Note: Please discuss with our team before submitting this abstract to the college. This Abstract or Synopsis varies based on student project requirements.
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