Abstract:

Information fusion technique is utilized for modulation classification and a weighted voting algorithm is presented. Firstly，this algorithm defines a contribution to classification results to describe performance improvement of multisystems and depends on it to assign weights for each system. And then the modulation classification of multisystems is modeled as cooperative games and the weights are decided by Shapley value of cooperative games. Finally, by using the weighted voting algorithm presented, decision fusion results of modulation classification is processed. Computer simulation demonstrates an effective improvement in recognition performance via this algorithm.