Title :
Maneuvering target motion analysis using hidden Markov model
Author :
TrÉmois, Olivier ; Le Cadre, J.-P.
Author_Institution :
IRISA, Rennes, France
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
Keywords :
hidden Markov models; marine systems; motion estimation; parameter estimation; sonar signal processing; sonar tracking; hidden Markov model; maneuvering target motion analysis; noise corrupted sensor data; observer; rectilinear movement; source trajectory; trajectory; Frequency estimation; Hidden Markov models; Kinematics; Motion analysis; Motion estimation; Observers; Sensor arrays; Switches; Target tracking; Trajectory;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1994. ICASSP-94., 1994 IEEE International Conference on
Conference_Location :
Adelaide, SA
Print_ISBN :
0-7803-1775-0
DOI :
10.1109/ICASSP.1994.389656