MATLAB Simulation Program for Track-to-Track Association and Fusion in Multi-Target Tracking
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Resource Overview
A MATLAB simulation program for track-to-track association and fusion in multi-target tracking, featuring robust implementation with excellent performance!!!
Detailed Documentation
In multi-target tracking, track-to-track association and fusion represents a critical processing stage. To effectively accomplish this task, MATLAB programming is employed for simulation purposes. During the simulation process, various factors must be considered including sensor measurement errors and environmental interference, which significantly impact tracking accuracy. Therefore, developing an efficient and precise program is essential. The current implementation utilizes advanced algorithms such as nearest neighbor association or probabilistic data association methods, featuring functions like track management, covariance fusion, and state estimation. Existing programs demonstrate substantial capability to meet most requirements, though situation-specific modifications and optimizations—such as adjusting association gates or implementing adaptive filtering techniques—can further enhance performance for improved results.
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