Power-Aware Cognitive Radar Multi-target Tracking Under Unknown Disturbances
Researchers have developed a cognitive radar framework using massive MIMO systems to track multiple aircraft under unknown disturbances. The system employs adaptive waveform design driven by Partially Observable Monte Carlo Planning (POMCP) to optimize power allocation, prioritizing weaker targets. This approach significantly improves the detection probability for low-SNR targets and enhances tracking accuracy compared to traditional methods. AI
IMPACT This research could lead to more robust and efficient multi-target tracking systems in aerospace and defense.