MATLAB Implementation for Target Tracking and Localization

In the field of underwater communication, target tracking and localization represents a critical research challenge. To investigate this problem, researchers typically study relevant technical literature. During experimental and simulation phases, MATLAB is commonly employed for program implementation and simulation. This process requires researchers to possess proficient MATLAB programming skills along with deep understanding of underwater communication principles. The implementation typically involves developing algorithms for signal processing, Kalman filtering for tracking, and positioning algorithms using time-difference-of-arrival (TDOA) or angle-of-arrival (AOA) methods. Key MATLAB functions used may include sensor data processing routines, optimization algorithms for position estimation, and visualization tools for tracking results. Consequently, researching this domain demands significant time investment and dedicated effort from investigators. However, through continuous learning and experimentation, researchers can achieve comprehensive understanding and contribute substantially to advancements in underwater communication technology.