DocumentCode :
3389298
Title :
Space registration algorithm based on UKF using hybrid states
Author :
Li Dong-wei ; Xie Wei-xin ; Huang Jian-jun ; Jin, Kai-Chun ; Jin Kai-chun
Author_Institution :
Sch. of Electron. Eng., Xidian Univ., Xi´´an, China
fYear :
2010
fDate :
24-28 Oct. 2010
Firstpage :
340
Lastpage :
343
Abstract :
A new UKF based for radar and infrared sensor registration method is provided. A so-called "hybrid states" concept is introduced to describe target\´s state, which consists of the target\´s range, bearing and elevation and its velocity in the Cartesian coordinate system. The dynamic function and the measurement function are deduced in hybrid states. Simulation results show that the proposed method has higher accuracy and stronger robustness in the estimation of system biases.
Keywords :
Kalman filters; infrared detectors; radar signal processing; sensor fusion; Cartesian coordinate system; hybrid states; infrared sensor registration method; radar registration method; space registration algorithm; unscented Kalman filter; Coordinate measuring machines; Equations; Estimation; Noise; Radar measurements; Radar tracking; Hybrid States; Space Registration; Unscented Kaiman Filter (UKF);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing (ICSP), 2010 IEEE 10th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-5897-4
Type :
conf
DOI :
10.1109/ICOSP.2010.5654990
Filename :
5654990
Link To Document :
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