Practical methods of optimization; (2nd ed.)
Practical methods of optimization; (2nd ed.)
Block conjugate gradient algorithms for adaptive filtering
Signal Processing
Galerkin Projection Methods for Solving Multiple Linear Systems
SIAM Journal on Scientific Computing
Cholesky factorization-based adaptive BLAST DFE for wideband MIMO channels
EURASIP Journal on Applied Signal Processing
Adaptive Filters
IEEE Transactions on Signal Processing
Analysis of conjugate gradient algorithms for adaptive filtering
IEEE Transactions on Signal Processing
The finite-length multi-input multi-output MMSE-DFE
IEEE Transactions on Signal Processing
IEEE Transactions on Wireless Communications
Computers and Electrical Engineering
Hi-index | 35.68 |
New adaptive equalization algorithms for wireless systems operating over wideband multiple-input multiple-output (MIMO) channels are proposed. The problem of MIMO decision feedback equalizer (DFE) design is formulated as a set of linear equations with multiple right-hand sides (RHSs) evolving in time. By applying an adaptive modified conjugate gradient algorithm, we derive an equalizer with identical convergence, improved tracking capabilities, but higher computational load as compared to the Recursive Least Squares (RLS) algorithm. To reduce its complexity, two updating strategies of the equalizer filters based on Galerkin projections are employed.