Multi Target Tracking of Ground Targets in Clutter with LMIPDA-IMM∗
نویسندگان
چکیده
Tracking of ground targets presents a number of challenges. Target trajectories meet various motion constraints. Substantial non-homogenous clutter is usually present. In multitarget situations measurement assignment may be computationally challenging as the number of operations increases exponentially with number of tracks and number of measurements. LMIPDA-IMM aims to provide a solution to these issues. Use of the IMM approach allows tracking ground targets with motion constraints and/or maneuvers. LMIPDA calculates the probability of target existence for false track discrimination to enable automatic track initiation and termination. The robust data association properties of LMIPDA are further enhanced by the use of a clutter map. LMIPDA provides multi-target data association with number of operations linear in the number of tracks and the number of measurements. Simulation studies illustrate the effectiveness of this approach in an environment of heavy non-homogenous clutter.
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