Loading [a11y]/accessibility-menu.js
A New Turbo Equalizer Conditioned on Estimated Channel for MIMO MMSE Receiver | IEEE Journals & Magazine | IEEE Xplore

A New Turbo Equalizer Conditioned on Estimated Channel for MIMO MMSE Receiver


Abstract:

In this letter, we propose a new equalization scheme based on minimum mean-square error (MMSE) criteria with a channel estimation error. Different from the existing work ...Show More

Abstract:

In this letter, we propose a new equalization scheme based on minimum mean-square error (MMSE) criteria with a channel estimation error. Different from the existing work on linear MMSE receivers, we consider both the a priori information and channel estimation error in the equalizer design, and re-derive the soft output extrinsic information used for the channel decoder. Conditioned on the estimated channel, we developed the new autocorrelation and covariance matrix of the received vector, which are used to derive the equalizer coefficients. One of our major contributions of this letter is a general expression of the MMSE-based turbo equalization to account for both the channel estimation error and the a priori information, which is not presented in the literature. Simulation results show that significant performance improvement can be achieved with the proposed turbo equalizer.
Published in: IEEE Communications Letters ( Volume: 21, Issue: 4, April 2017)
Page(s): 957 - 960
Date of Publication: 13 December 2016

ISSN Information:

Funding Agency:


I. Introduction

In a coded multiple-input multiple-output (MIMO) system, the soft-input soft-output (SISO) channel decoder can provide the extrinsic information of the coded bits to MIMO equalizer. The equalizer, on the other hand, outputs soft information of the coded bits to channel decoder. Such receivers with the iterative signal processing structure are known as turbo receivers and have been widely adopted in new generation wireless communication systems [1]–[4]. A typical turbo receiver consists of two SISO blocks where the extrinsic information is exchanged between them. Investigation on the turbo receivers shows that a simple equalizer along with iterative signal processing can effectively approach the bit error rate (BER) performance of the optimal maximum likelihood (ML) and maximum a posteriori (MAP) based equalizers, whose computational complexity increase exponentially [5].

References

References is not available for this document.