Optimal design for channel equalization via the filterbank approach

Authors:
Guoxiang Gu;E.F. Badran
Affiliations:
Dept. of Electr. & Comput. Eng., Louisiana State Univ., Baton Rouge, LA, USA;-
Venue:
IEEE Transactions on Signal Processing
Year:
2004

Citing 0
Cited 5

Marquardt optimization method to design two-channel quadrature mirror filter banks

Digital Signal Processing
2-norm-based iterative design of filterbank transceivers: a control perspective

Journal of Control Science and Engineering
Zero-forcing precoding for frequency selective MIMO channels with H∞ criterion and causality constraint

Signal Processing
Novel system inversion algorithm with application to oversampled perfect reconstruction filter banks

IEEE Transactions on Signal Processing
Design of two channel quadrature mirror filter bank: a multi-objective approach

SEMCCO'11 Proceedings of the Second international conference on Swarm, Evolutionary, and Memetic Computing - Volume Part II

Quantified Score

Hi-index	35.69

Visualization

Abstract

Channel equalization is investigated via the filterbank approach. A necessary and sufficient condition is established for perfect reconstruction (PR) of the transmitter-receiver filterbanks. If the PR condition holds, then all causal and stable receiver filterbanks that achieve PR are parameterized. It is further shown that the receiver filterbank for optimal channel equalization has the form of state estimator and is a modified Kalman filter. The design algorithm for optimal channel equalizers is developed. A simulation example is worked out to illustrate the proposed design algorithm.