Title :
Maximum likelihood track formation with the Viterbi algorithm
Author :
Quach, T. ; Farooq, M.
Author_Institution :
Dept. of Electr. & Comput. Eng., R. Mil. Coll. of Canada, Kingston, Ont., Canada
Abstract :
It is well recognized that for target tracking in a cluttered environment, obtaining a correct measurement to track association is an important step because it has a great influence on the final tracking results. Recent research efforts have been focusing on the application of discrete optimization techniques to the data association problem. In this paper, we propose a tracking algorithm for estimating the track of a maneuvering target in a cluttered environment using the Viterbi algorithm for discrete optimization
Keywords :
matrix algebra; maximum likelihood estimation; optimisation; probability; target tracking; tracking; Viterbi algorithm; cluttered environment; data association problem; discrete optimization; maneuvering target; maximum likelihood track formation; probability; target tracking; transition matrix; Equations; Estimation theory; Frequency; Gaussian noise; Maximum likelihood estimation; Personal digital assistants; Target tracking; Time measurement; Viterbi algorithm; White noise;
Conference_Titel :
Decision and Control, 1994., Proceedings of the 33rd IEEE Conference on
Conference_Location :
Lake Buena Vista, FL
Print_ISBN :
0-7803-1968-0
DOI :
10.1109/CDC.1994.410918
