Design and Realization for Multi-Target Tracking of Radar Network System
Yang Hui-Yuan · Ordnance Industry Automation · 2008
The multi-target tracking radar network system uses weighted linear regression to estimate the state of the target. Suppose the measuring error as the Gauss noise and the sensor is independent, the data association adopts the nearest neighbor algorithm. At first, compute the normalized distance between measurement point and system tracks, then partner measurement and system track which is nearest with the measurement point. In the end, use weighted linear regression fuser to track targets. The simulation results show that the system is effective to track multi-target and maneuvering targets.