In radar ground target recognition,suitable feature selection algorithm contributes to selecting the features with high discrimination in the complex characteristic space for different types of target.On the basis of information theory and cooperative game theory,a novel feature selection algorithm is proposed based on the Owen value.The proposed feature selection algorithm can select the optimal feature subset,in which the features are of high relevance with its class,and have low redundancy and strong dependence with each other,thus can greatly improve the recognition performance of radar target.Experiments conducted on the real data show that:1) The average recognition rate of the proposed method is better than that using the two classical Filter algorithms;and 2) The proposed feature selection algorithm is robust against noise/clutter.