Identification of state space model for radar servo system

System identification for radar servo system is studied in this paper. Multisine input signal is designed to excite the system. Observer/Kalman filter identification algorithm is used to calculate the Markov parameters of the system. A state space equation is then realized from the estimated Markov parameters. The experiment results show that the identified model can fit the radar servo system accurately.