A Multitarget Data Association Algorithm Based on the Hopfield Network

摘要

A multiple targets data association method based on Hopfield network is studied, in which, a new energy function for measured data association is presented. The new energy function is a function of the distance between the plots and the predictedtrack positions. This method minimizes the cost of the data association. Simulation result shows that, the successful correlation rate of this method is higher than the NN method.