28th International Congress of the Aeronautical Sciences

A nonlinear system model of maneuvering target detection was introduced. To estimate offset angles of pitch and azimuth, relative velocity of missile and target, and distance information while detecting maneuvering target, extended Kalman filter algorithm was introduced. Simulations of nominal trajectory and extreme trajectory shows that the proposed system model and filter design approach can deal with partial information missing problems in the real flight condition and maintain good tracking accuracy for certain time even in extreme blocking situation.