Channel estimation for two-way MIMO relay systems in frequency-selective fading environments

Chiong, Choo Wee Raymond; Rong, Yue; Xiang, Y.

doi:10.1109/TWC.2014.2347321

202688_202688.pdf (238.1Kb)

Access Status

Open access

Authors

Chiong, Choo Wee Raymond

Rong, Yue

Xiang, Y.

Date

2014

Type

Journal Article

Metadata

Show full item record

Citation

Chiong, C.W.R. and Rong, Y. and Xiang, Y. 2014. Channel estimation for two-way MIMO relay systems in frequency-selective fading environments. IEEE Transactions on Wireless Communications. 14 (1): 399-409.

Source Title

IEEE Transactions on Wireless Communications

DOI

10.1109/TWC.2014.2347321

ISSN

15361276

School

Department of Electrical and Computer Engineering

Funding and Sponsorship

http://purl.org/au-research/grants/arc/DP140102131

http://purl.org/au-research/grants/arc/DP110100736

Remarks

Copyright © 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

URI

http://hdl.handle.net/20.500.11937/7134

Collection

Curtin Research Publications

Abstract

In this paper, we investigate the channel estimation problem for two-way multiple-input multiple-output(MIMO) relay communication systems in frequency-selective fading environments. We apply themethod of superimposed channel training to estimate the individual channel state information (CSI) ofthe first-hop and second-hop links for two-way MIMO relay systems with frequency-selective fadingchannels. In this algorithm, a relay training sequence is superimposed on the received signals at the relay node to assist the estimation of the second-hop channel matrices. The optimal structure of the source and relay training sequences is derived to minimize the mean-squared error (MSE) of channel estimation. Moreover, the optimal power allocation between the source and relay training sequences is derived to improve the performance of channel estimation. Numerical examples are shown to demonstrate the performance of the proposed superimposed channel training algorithm for two-way MIMO relay systems in frequency-selective fading environments.