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The document presents a robust underwater multi-target direction-of-arrival (DOA) tracking method that addresses uncertain measurement noise using a spatial matrix filtering (SMF) technique integrated within the cardinalized probability hypothesis density (CPHD) filter framework. This approach improves the robustness and precision of DOA tracking by utilizing kinematic models and filtering techniques to enhance signal quality while avoiding the complexities of traditional data association methods. Comprehen

Author

3329774680

Language

EN