A new architecture for maneuvering target tracking: The hybrid imaging filter

Abstract

This paper presents a new image based hybrid algorithm for the maneuvering target tracking problem. An optimal filter for the mode of the target that fully exploits the imaging capacity of electro-optical sensors (EO) is introduced first. The second part presents the architecture of the hybrid imaging filter (HIF). The efficiency of the HIF leads to a significant improvement of the tracking performance compared to that of a classical IMM algorithm with a reduced computational cost.