Multitarget Tracking in Clutter: Two Algorithms for Data Association Using BPNN and LVQNN
Maya Daneva · 2004
Absfract4n this paper two algorithms for data association in the context of multiple target tracking on nonmanoeuvring aircrafts using Back-Propagation Neural Network (BPNN) and Learning Vector Quantization Neural Network (LVQNN) are presented. The performances or the algorithms are compared with those of the standard method for data association based to the nearest-neigbhnur rule by Monte Carlo experiment and by using real radar data records.