A CKF Based Spatial Alignment of Radar and Infrared Sensors
Spatial alignment is the prerequisite for the successful data fusion of multiple sensors. A CKF based spatial alignment algorithm for the estimation of bias between radar and infrared sensors on a same platform is presented. The system dynamics of this problem is established in a hybrid coordinate, i.e., the target position in the spherical coordinate while the target speed in the Cartesian one. The system bias is then estimated by the cubature Kalman filter (CKF) in an augmented system state equation. Simulation results show that the proposed algorithm is effective and efficient.
Cubature Kalman filter (CKF) Spatial alignment Hybrid coordinate
Huang Jianjun Zhong Jiali Jiang Feng
ATR Key Lab Shenzhen University, Shenzhen, China
国际会议
2010 IEEE 10th International Conference on Signal Processing(第十届信号处理国际会议 ICSP 2010)
北京
英文
2386-2390
2010-08-24（万方平台首次上网日期，不代表论文的发表时间）