Invariant-based probabilistic target tracking and identification with GMTI/HRR measurements

An invariant-based algorithm is presented for ground moving-target tracking and identification using ground moving-target indicator and high-resolution range measurements. The algorithm effectively exploits coupled information between target kinematics and identification spaces by introducing the concept of local and global motion. A geometrical invariant constraint based on the target rigidity principle is built into target kinematics and measurement models, which facilitate joint information exploitation. An interacting multiple template algorithm is developed to tightly work with a traditional tracker for joint tracking and identification. Besides providing target kinematics behaviour and identity information, the algorithm is capable of reconstructing the prominent physical structure of a moving target.