Maneuvering target motion analysis using hidden Markov model
نویسندگان
چکیده
The basic problem of target motion analysis (TMA) is to estimate the trajectory of an object (Le. 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. Our main goal is to apply hidden markov modelling to this, and to optimize the estimability of the source tra-jectory via the observer motion.
منابع مشابه
Optimization of the observer motion using dynamic programming
Classical bearings-only target motion analysis (TMIA) are restricted to constant motion parameters (usually : position and velocity). However most of the interesting sources have maneuvering abilities, degrading, thus, dramatically the TMA performances. A basic idea consists in modelling the states of the source by an hidden Markov model (HMM for the sequel). The main point is then to optimize ...
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