Title :
Identification of state space model for radar servo system
Author :
Peng Cheng ; Wang Yong
Author_Institution :
Dept. of Autom., Univ. of Sci. & Technol. of China, Hefei, China
Abstract :
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.
Keywords :
Kalman filters; Markov processes; radar signal processing; multisine input signal; observer/Kalman filter identification algorithm; radar servo system; state space model; system identification; Electronic mail; Kalman filters; Markov processes; Observers; Servomotors; Spaceborne radar; Balanced Realization; Observer/Kalman Filter Identification; Radar Servo System;
Conference_Titel :
Control Conference (CCC), 2013 32nd Chinese
Conference_Location :
Xi´an
