DocumentCode
2773335
Title
A fast DOA tracking algorithm based on the extended Kalman filter
Author
Kong, Dongkeon ; Chun, Joohwan
Author_Institution
Sci. Comput. Lab., Korea Adv. Inst. of Sci. & Technol., Seoul, South Korea
fYear
2000
fDate
2000
Firstpage
235
Lastpage
238
Abstract
Many direction of arrival (DOA) tracking algorithms suffer heavy computational complexity due to their dependence on the sample covariance matrix. We propose a new DOA tracking algorithm that uses the extended Kalman filter (EKF). Because the proposed algorithm is based on a single snapshot, it requires low computational complexity. Our simulation illustrates that the proposed algorithm performs better than other methods
Keywords
Kalman filters; computational complexity; direction-of-arrival estimation; tracking; antenna array; computational complexity; computer simulation; direction of arrival tracking algorithm; extended Kalman filter; single snapshot; Computational complexity; Computational modeling; Cost function; Direction of arrival estimation; Laboratories; Sampling methods; Scientific computing; Sensor arrays; Target tracking; Taylor series;
fLanguage
English
Publisher
ieee
Conference_Titel
National Aerospace and Electronics Conference, 2000. NAECON 2000. Proceedings of the IEEE 2000
Conference_Location
Dayton, OH
Print_ISBN
0-7803-6262-4
Type
conf
DOI
10.1109/NAECON.2000.894916
Filename
894916
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