关键词: 多功能雷达, 状态预测, 支持向量回归, 机动特征, D-S证据理论

Abstract: Aiming at the problem of weak robustness and poor accuracy of the traditional multi-function radar (MFR) state prediction methods,a MFR state prediction method aided by maneuvering features is proposed.First of all,the aircraft maneuver features and the conventional reconnaissance parameters work together as the prediction feature set;then,on the one hand,the conventional prediction model can be achieved by support vector regression (SVR) and detected signal feature set;on the other hand,the MFR state transition probability model of each state is obtained by SVR and maneuvering feature set;at last,the eventual prediction state is obtained by the D-S evidence theory.Experimental results show that in comparison with SVR and LSR,the proposed method improves the average prediction accuracy by 6.97% and 7.2% respectively,and meanwhile,it is more robust.The proposed method can be applied to the mechanical equipment,road transport,etc.by further extension.

Key words: multi-function radar, state prediction, support vector regression, aircraft maneuvering features, D-S evidence theory