In this paper, the method of extracting guidance infor-mation such as the line-of-sight (LOS) rates under the anti-in-frared decoy state for the roll-pitch seeker is researched. Co-ordinate systems which are used to describe the angles trans-form are defined. The LOS angles reconstruction model of the roll-pitch seeker in inertial space is established. A Kalman filter model for extracting LOS rates of the roll-pitch seeker is pro-posed. In this model, the target performs constant acceleration (CA) model maneuvers. The error model of LOS rates extraction under infrared decoy state is established. Several existing meth-ods of extracting LOS rates under anti-infrared decoy state are listed in this paper. Different from the existing methods, a novel method that uses extrapolated values of target accelerations as filter measurements is proposed to solve the guidance informa-tion extraction problem under the anti-infrared decoy state. Nu-merical simulations are conducted to verify the effectiveness of the proposed method under different target maneuvering mo-dels such as the CA model, the CA extended model and the singer model. The simulation results show that the proposed method of extracting guidance information such as LOS rates for the roll-pitch seeker under the anti-infrared decoy state is effective.