Enhanced Tracking of Airborne Targets Using Multiple Model Filtering Techniques for Adaptive Field of View Expansion

摘要

This study was part of an ongoing effort at the Air Force Institute of Technology to design a tracking algorithm for use with the Air Force Weapons Laboratory's high energy laser weapon system. The purpose of this thesis was to take previously developed tracker algorithms and incorporate a multiple model adaptive filter algorithm into the existing structure. This approach was intended to provide adaptive expansion of the effective tracker field of view, which in turn would increase the tracker's ability to maintain lock on highly dynamic, close range targets.