An Efficient Algorithm for Mutiple Direction of Arrival Tracking Based on the Constrained Projection Approximation Approach and Kalman Filter
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[1] Yingbo Hua,et al. Fast subspace tracking and neural network learning by a novel information criterion , 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).
[2] J. Bunch,et al. Rank-one modification of the symmetric eigenproblem , 1978 .
[3] Petre Stoica,et al. MUSIC, maximum likelihood and Cramer-Rao bound , 1988, ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing.
[4] Petre Stoica,et al. On-line subspace algorithms for tracking moving sources , 1994, IEEE Trans. Signal Process..
[5] G. Golub,et al. Tracking a few extreme singular values and vectors in signal processing , 1990, Proc. IEEE.
[6] Roland Badeau,et al. Approximated power iterations for fast subspace tracking , 2003, Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings..
[7] Y. Hua,et al. Fast orthonormal PAST algorithm , 2000, IEEE Signal Processing Letters.
[8] Y. Bar-Shalom. Tracking and data association , 1988 .
[9] Bin Yang,et al. Projection approximation subspace tracking , 1995, IEEE Trans. Signal Process..