An extended multiple-model estimator for tracking multiple maneuvering targets has been developed in this paper. In this approach, an
equivalent filter bank structure is designed to solve the uncertainty problems caused by target maneuvering situations. Moreover, this system is
implemented as a tracking filter which consists of a data association
technique and a multiple-model algorithm as an adaptive maneuvering
compensator. The advantage of this system is that it can adjust the
estimation depending on various targets’ situations. Via this approach, both data association and target maneuvering problems can be solved
simultaneously. Moreover, in order to verify that such a tracking system is really improved, detailed simulations of multi-target tracking using several tracking algorithms are conducted and compared with this proposed
tracking system. According to the simulation results, we convince that this approach can track multiple maneuvering targets underlying various
situations.