Low-complexity adaptive decision-feedback equalization of MIMO channels

Authors:
Reza Arablouei;Kutluyıl Doğançay
Affiliations:
Institute for Telecommunications Research, University of South Australia, Mawson Lakes 5095 SA, Australia;Institute for Telecommunications Research, University of South Australia, Mawson Lakes 5095 SA, Australia and School of Electrical and Information Engineering, University of South Australia, Mawso ...
Venue:
Signal Processing
Year:
2012

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Abstract

A new adaptive MIMO channel equalizer is proposed based on adaptive generalized decision-feedback equalization and ordered-successive interference cancellation. The proposed equalizer comprises equal-length subequalizers, enabling any adaptive filtering algorithm to be employed for coefficient updates. A recently proposed computationally efficient recursive least squares algorithm based on dichotomous coordinate descents is utilized to solve the normal equations associated with the adaptation of the new equalizer. Convergence of the proposed algorithm is examined analytically and simulations show that the proposed equalizer is superior to the previously proposed adaptive MIMO channel equalizers by providing both enhanced bit error rate performance and reduced computational complexity. Furthermore, the proposed algorithm exhibits stable numerical behavior and can deliver a trade-off between performance and complexity.