Optimal Channel Equalization For Time-Varying Channels With Non-Stationary Noises
Document Type
Conference Proceeding
Publication Date
1-1-2003
Abstract
Filterbank transceivers are widely employed in data communication networks to cope with ISI (inter-symbol-interference) through the use of redundancies. We consider optimal channel equalization for time-varying channels with possible nonstationary noise processes. We will show that all zero-forcing receiver filterbanks can be parameterized in an affine form which eliminate completely the ISI, and optimal channel equalizers can be designed through minimization of the MSE (mean-squared-error) between the detected signals and the transmitted signals, among all zero-forcing receiver filterbanks. Our main results show that the optimal channel equalizer is a modified Kalman filter. The results in this paper are applicable to DWMT (discrete wavelet multitone) systems, multirate transmultiplexers, OFDM (orthogonal frequency division multiplexing), and DS (direct sequence) CDMA (code division multiple access) networks. The design algorithm for optimal channel equalizers is developed, and a simulation example is worked out to illustrate the proposed design algorithm.
Publication Source (Journal or Book title)
Midwest Symposium on Circuits and Systems
First Page
576
Last Page
579
Recommended Citation
Badran, E., & Gu, G. (2003). Optimal Channel Equalization For Time-Varying Channels With Non-Stationary Noises. Midwest Symposium on Circuits and Systems, 2, 576-579. https://doi.org/10.1109/MWSCAS.2003.1562352