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.
A fast DOA tracking algorithm based on the extended Kalman filter
01.01.2000
297223 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
A Fast DOA Tracking Algorithm Based On The Extended Kalman Filter
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