Title :
A comparison of several different approaches for target tracking with clutter
Author :
Pao, Lucy Y. ; Powers, Richard M.
Author_Institution :
Dept. of Electr. & Comput. Eng., Colorado Univ., Boulder, CO, USA
Abstract :
Five different methods suitable for tracking single targets in clutter are compared: the nearest neighbor algorithm, the probabilistic multi-hypothesis tracking filter, the probabilistic data association filter, the mixture reduction algorithm, and the mean-field event-averaged maximum likelihood estimator. Across a range of clutter densities, comparison results were generated for a common, fixed set of Monte Carlo target, target measurement, and clutter measurement realizations. The relative performances, as measured by track lifetime, RMS tracking error, and computational complexity are compared.
Keywords :
Monte Carlo methods; clutter; computational complexity; maximum likelihood estimation; target tracking; tracking filters; Monte Carlo target realization; RMS tracking error; clutter; clutter densities; clutter measurement realization; computational complexity; mean-field event-averaged maximum likelihood estimator; mixture reduction algorithm; nearest neighbor algorithm; probabilistic data association filter; probabilistic multihypothesis tracking filter; target measurement realization; target tracking; track lifetime; Clutter; Density measurement; Filters; Maximum likelihood detection; Maximum likelihood estimation; Nearest neighbor searches; Neural networks; Performance evaluation; Target tracking; Testing;
Conference_Titel :
American Control Conference, 2003. Proceedings of the 2003
Print_ISBN :
0-7803-7896-2
DOI :
10.1109/ACC.2003.1240448
