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.