A neural decision estimator for maneuvering targets
Tao Tao · 1994
The idea of solving constrained optimization problems such as the TSP with Hopfield neural network is used and an algorithm of the neural decision (ND) of maneuvering levels is put forward. Because the ND algorithm is parallel, the ND adaptive estimator can compute as fast as an ordinary Kalman filter based on a 2nd-order model. Computer simulations indicate it has a satisfactory performance in tracking maneuvering targets.>