Multi-input multi-output fading channel tracking and equalization using Kalman estimation

@article{citeulike:2002834, abstract = {This paper addresses the problem of channel tracking and equalization for multi-input multi-output (MIMO) time-varying frequency-selective channels. These channels model the effects of inter-symbol interference (ISI), co-channel interference (CCI), and noise. A low-order autoregressive model approximates the MIMO channel variation and facilitates tracking via a Kalman filter. Hard decisions to aid Kalman tracking come from a MIMO finite-length minimum-mean-squared-error decision-feedback equalizer (MMSE-DFE), which performs the equalization task. Since the optimum DFE for a wide range of channels produces decisions with a delay \Δ \> 0, the Kalman filter tracks the channel with a delay. A channel prediction module bridges the time gap between the channel estimates produced by the Kalman filter and those needed for the DFE adaptation. The proposed algorithm offers good tracking behavior for multiuser fading ISI channels at the expense of higher complexity than conventional adaptive algorithms. Applications include synchronous multiuser detection of independent transmitters, as well as coordinated transmission through many transmitter/receiver antennas, for increased data rate}, author = {Komninakis, C. and Fragouli, C. and Sayed, A. H. and Wesel, R. D. }, booktitle = {Signal Processing, IEEE Transactions on [see also Acoustics, Speech, and Signal Processing, IEEE Transactions on]}, citeulike-article-id = {2002834}, journal = {Signal Processing, IEEE Transactions on [see also Acoustics, Speech, and Signal Processing, IEEE Transactions on]}, keywords = {channel, equalization, estimation, fading, kalman, mimo, tracking}, number = {5}, pages = {1065--1076}, posted-at = {2007-11-28 10:37:16}, priority = {2}, title = {Multi-input multi-output fading channel tracking and equalization using Kalman estimation}, url = {http://ieeexplore.ieee.org/xpls/abs\_all.jsp?arnumber=995063}, volume = {50}, year = {2002} }

TY - JOUR ID - citeulike:2002834 L3 - citeulike-article-id:2002834 TI - Multi-input multi-output fading channel tracking and equalization using Kalman estimation T2 - Signal Processing, IEEE Transactions on [see also Acoustics, Speech, and Signal Processing, IEEE Transactions on] JF - Signal Processing, IEEE Transactions on [see also Acoustics, Speech, and Signal Processing, IEEE Transactions on] VL - 50 IS - 5 SP - 1065 EP - 1076 N2 - This paper addresses the problem of channel tracking and equalization for multi-input multi-output (MIMO) time-varying frequency-selective channels. These channels model the effects of inter-symbol interference (ISI), co-channel interference (CCI), and noise. A low-order autoregressive model approximates the MIMO channel variation and facilitates tracking via a Kalman filter. Hard decisions to aid Kalman tracking come from a MIMO finite-length minimum-mean-squared-error decision-feedback equalizer (MMSE-DFE), which performs the equalization task. Since the optimum DFE for a wide range of channels produces decisions with a delay Δ > 0, the Kalman filter tracks the channel with a delay. A channel prediction module bridges the time gap between the channel estimates produced by the Kalman filter and those needed for the DFE adaptation. The proposed algorithm offers good tracking behavior for multiuser fading ISI channels at the expense of higher complexity than conventional adaptive algorithms. Applications include synchronous multiuser detection of independent transmitters, as well as coordinated transmission through many transmitter/receiver antennas, for increased data rate KW - channel KW - equalization KW - estimation KW - fading KW - kalman KW - mimo KW - tracking AU - Komninakis, C AU - Fragouli, C AU - Sayed, AH AU - Wesel, RD PY - 2002/// UR - http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=995063 ER -