DocumentCode :
1695804
Title :
Simultaneous registration and fusion of radar and ESM by EM-EKS
Author :
Li, Zhenhua ; Leung, Henry ; Tao, Liang
Author_Institution :
Sch. of Control Sci. & Eng., Shandong Univ., Jinan, China
fYear :
2010
Firstpage :
1130
Lastpage :
1134
Abstract :
In this paper, we present an approach for radar and electronic support measure (ESM) simultaneous registration and fusion. An expectation-maximization based extended Kalman smoother (EM-EKS) is developed here to perform fusing of the system states and to simultaneously estimate the sensor biases. Computer simulations are carried out to validate the efficiencies and robustness of the proposed algorithm.
Keywords :
Kalman filters; expectation-maximisation algorithm; radar signal processing; sensor fusion; smoothing methods; electronic support measure; expectation-maximization based extended Kalman smoother; radar fusion; sensor biases; sensor registration; Kalman filters; Mathematical model; Noise; Radar measurements; Radar tracking; Target tracking; electronic support measure; radar; sensor fusion; sensor registration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation (WCICA), 2010 8th World Congress on
Conference_Location :
Jinan
Print_ISBN :
978-1-4244-6712-9
Type :
conf
DOI :
10.1109/WCICA.2010.5554760
Filename :
5554760
Link To Document :
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