Application of Mean-field Network In Track Correlation

In a two-node distributed multisensor system, some algorithms of track correlation can be transformed to a generalized classical assignment problem, and the generalized classical assignment is a combined optimization problem. The model of mean-field network is proposed in this paper to solve the problem. The experimental results illustrate that using the neural network to solve the generalized classical assignment problem not only makes the track association correct percent high, but also cannot increase the computing time exponentially with the number of targets