Title :
An ASEKF algorithm for 2D and 3D radar registration
Author :
Liu Jianfeng ; Zuo Yan ; Xue Anke
Author_Institution :
Inst. of Inf. & Control, Hangzhou Dianzi Univ., Hangzhou, China
Abstract :
An augmented state extended Kalman filter (ASEKF) method is proposed to registering 2D radar and 3D radar. An augmented state model is constructed to get the measurements of the 2D radar and 3D radar. It can realize the registration of 2D radar and 3D radar for jointed estimation of state and systematic errors. The simulation results show that this method is efficiency.
Keywords :
Kalman filters; radar signal processing; 2D radar registration; 3D radar registration; ASEKF algorithm; augmented state extended Kalman filter; augmented state model; augmented state extended Kalman filter; radar networking; spatial registration;
Conference_Titel :
Control Conference (CCC), 2013 32nd Chinese
Conference_Location :
Xi´an
