Title :
Application of neural networks aided target tracking
Author_Institution :
Nanyang Technol. Univ., Singapore
Abstract :
A new approach of using neural networks in conjunction with the joint probability data association (JPDA) filter to solve the multiple target tracking problem is introduced. An algorithm is designed to deal with maneuvering targets. Simulation results show that the new algorithm is effective in separating closely-spaced targets as well as reducing the tracking error as compared to the conventional JPDA filter
Keywords :
filtering theory; neural nets; probability; target tracking; JPDA filter; joint probability data association filter; maneuvering targets; multiple target tracking; neural network aided target tracking; Algorithm design and analysis; Electronic mail; Filtering theory; Kalman filters; Neural networks; Neurons; Noise measurement; Surveillance; Target tracking; Traveling salesman problems;
Conference_Titel :
Neural Networks, 1996., IEEE International Conference on
Print_ISBN :
0-7803-3210-5
DOI :
10.1109/ICNN.1996.549145
