Multi-node Cooperative Target Tracking via USNs

The chapter delves into advancements in underwater target tracking methodologies, crucial for comprehensive understanding in underwater research. It explores active and passive tracking systems, addressing challenges like propagation loss and sensor limitations. Various algorithms are discussed, including those employing multi-static and bistatic systems, as well as Kalman and particle filters. New methods proposed for active tracking involve node depth optimization and manual measurements, while passive tracking introduces feature-assisted and reinforcement learning-based approaches. The section provides insights into optimizing tracking accuracy and efficiency in underwater environments.