A generalized multichannel least squares lattice algorithm based on sequential processing stages
- 1 April 1984
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Acoustics, Speech, and Signal Processing
- Vol. 32 (2), 381-389
- https://doi.org/10.1109/tassp.1984.1164325
Abstract
A generalized multichannel least squares (LS) lattice algorithm which is appropriate for multichannel adaptive filtering and estimation is presented in this paper. It is shown that a muitichannel LS estimation algorithm with a different number of parameters to be estimated in each channel can be implemented by cascading lattice stages of nondescending dimension to form a generalized lattice structure. A new realization of a multichannel lattice stage is also presented. This realization employs only scalar operations and has a computational complexity of 0(p2) for each p-channel lattice stage.Keywords
This publication has 9 references indexed in Scilit:
- A classification of algorithms for ARMA models and ladder realizationsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- System identification techniques for adaptive noise cancellingIEEE Transactions on Acoustics, Speech, and Signal Processing, 1982
- Fast Recursive Estimation Using the Lattice StructureBell System Technical Journal, 1982
- Recursive least squares lattice algorithms--A geometrical approachIEEE Transactions on Automatic Control, 1981
- Recursive least squares ladder estimation algorithmsIEEE Transactions on Acoustics, Speech, and Signal Processing, 1981
- Application of Fast Kalman Estimation to Adaptive EqualizationIEEE Transactions on Communications, 1978
- Channel Equalization Using a Kalman Filter for Fast Data TransmissionIBM Journal of Research and Development, 1974
- Solving linear least squares problems by Gram-Schmidt orthogonalizationBIT Numerical Mathematics, 1967
- Adaptive antenna systemsProceedings of the IEEE, 1967