Title :
Multitarget tracking in clutter: two algorithms for data association
Author_Institution :
Dept. of Radiocommunications, Tech. Univ. of Sofia, Bulgaria
Abstract :
In this paper two algorithms for data association in the context of multiple target tracking on non-manoeuvering aircrafts using back-propagation neural network (BPNN) and learning vector quantization neural network (LVQNN) are presented. The performances of the algorithms are compared with those of the standard method for data association based to the nearest-neighbour rule by Monte Carlo experiment and by using real radar data records.
Keywords :
Monte Carlo methods; air traffic control; backpropagation; neural nets; radar clutter; target tracking; vector quantisation; Monte Carlo experiment; backpropagation neural network; data association; learning vector quantization neural network; multitarget tracking; nearest-neighbour rule; nonmanoeuvering aircrafts; radar data processing; Air traffic control; Airborne radar; Aircraft; Clutter; Data processing; Filters; Monte Carlo methods; Neural networks; Radar tracking; Target tracking;
Conference_Titel :
Intelligent Systems, 2004. Proceedings. 2004 2nd International IEEE Conference
Print_ISBN :
0-7803-8278-1
DOI :
10.1109/IS.2004.1344859
