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
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;
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
DOI :
10.1109/NAECON.2000.894916
