Interacting multiple model integrated probabilistic data association filters (IMM-IPDAF) for track formation on maneuvering targets in cluttered environments
Ronald E. Helmick, Gregory A. Watson · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1994
An algorithm for the automatic formation of tracks is developed for maneuvering targets in cluttered environments. This track formation algorithm consists of Integrated Probabilistic Data Association Filters (IPDAFs) in an Interacting Multiple model (IMM) configuration, and it is referred to as the IMM-IPDAF algorithm. The IMM portion of the IMM-IPDAF will consist of several filters based on different dynamical models to handle target maneuvers. Each of the filters will be an IPDAF to deal with the problem of track existence in the presence of clutter. Although the primary purpose of this paper is to deal with the track formation problem, the IMM-IPDAF can also be used for the maintenance of existing tracks and the termination of tracks for targets when they disappear. For illustrative purposes, simulations will be used to compare the performance of the IMM-IPDAF algorithm to other track formation algorithms.