Title :
Target tracking - a Bayesian perspective
Author :
Challa, Subhash ; Evans, Robin J. ; Musicki, Darko
Author_Institution :
Dept. of Electr. & Electron. Eng., Univ. of Melbourne, Vic., Australia
Abstract :
Target tracking algorithms are often thought of as a conglomeration of a number of unrelated techniques and tricks. However, they all have firm foundations in recursive Bayesian logic. In this paper, we review the Bayesian underpinnings of several target tracking algorithms and highlight the assumptions under which appropriate Bayesian recursions are derived and used.
Keywords :
Bayes methods; clutter; state estimation; target tracking; Bayesian recursions; recursive Bayesian logic; target tracking algorithms; Bayesian methods; Kinematics; Logic; Noise measurement; Power measurement; Random variables; Signal processing; State estimation; Target tracking; Time measurement;
Conference_Titel :
Digital Signal Processing, 2002. DSP 2002. 2002 14th International Conference on
Print_ISBN :
0-7803-7503-3
DOI :
10.1109/ICDSP.2002.1027913
