Multi-Target Tracking Using PDA Probabilistic Data Association Algorithm

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Resource Overview

Implementation of PDA probabilistic data association algorithm for tracking multiple targets in a 2D plane using MATLAB, including sensor data processing and trajectory estimation

Detailed Documentation

In this implementation, we utilize the PDA (Probabilistic Data Association) algorithm to track multiple targets in a two-dimensional plane. This algorithm enables real-time tracking and determination of target positions and motion trajectories. Through MATLAB programming, we efficiently implement this target tracking system by processing sensor-collected data for target detection and employing probabilistic data association to match targets with their respective trajectories. The implementation includes key components such as Kalman filter prediction for state estimation, measurement validation gates to reduce false associations, and probability calculations for data association. This approach enhances tracking accuracy and stability by effectively handling measurement uncertainties and clutter, making it suitable for practical applications requiring robust multi-target tracking capabilities.

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