A method of guidance law identification for defense missile based on signal decomposition
Aiming at the problem that aircraft can identify the guidance law of the enemy defense missile,an identification method based on empirical mode decomposition of relative motion information and classification using support vector machine is proposed.The relative motion model of aircraft and defense missile is established.The possible guidance law model set of defense missile is constructed according to typical combat scenarios.The empirical mode decomposition algorithm is used for decomposing the LOS angular velocity and range rate signal measured by the radar between the defense missile and the aircraft.The characteristic energy matrix of different guidance laws is constructed."One-to-One"multi-class support vector machine model is established to classify the sample of characteristic energy matrix of different guidance laws,to realize the identification of guidance laws.The simulation results show that the proposed guidance law identification method based on empirical mode decomposition algorithm and support vector machine model can identify the guidance law in sample set with high accuracy.
guidance law identificationmachine learningproportional navigation guidancerelative motion informationempirical mode decompositionenergy characteristicmulti-class support vector ma-chine
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