An adaptive neural PDA approach based on an united Hopfield-BP network
Tao Tao · 1994
An adaptive neural probabilistic data association (A.NPDA) approach, which is a modification of the NPDA approach proposed previously, is put forward in this paper. All the features of the joint PDA (JPDA) are included in a united Hopfield neural network. The A.NPDA has an important feature of adaptive adjustment to the variation of return density and target number. The simulation results prove the parallel algorithm is a simplified but perfect imitation of the JPDA.>