Maneuvering target motion analysis using hidden Markov model

Abstract

The basic problem of target motion analysis (TMA) is to estimate the trajectory of an object (i.e. position and velocity for a rectilinear movement) from noise corrupted sensor data. The problem is quite easy for a rectilinear movement of the source, but numerous problem arise when it maneuvers. The main goal is to apply hidden Markov modelling to this, and to optimize the estimability of the source trajectory via the observer motion.< >