Blind channel estimation and signal retrieving for MIMO relay systems

In this paper, we propose a blind channel estimation and signal retrieving algorithm for two-hop multiple-input multiple-output (MIMO) relay systems. This new algorithm integrates two blind source separation (BSS) methods to estimate the individual channel state information (CSI) of the source-relay...

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Main Authors: Chiong, C., Rong, Yue, Xiang, Y.
Format: Journal Article
Published: 2016
Online Access:http://purl.org/au-research/grants/arc/DP140102131
http://hdl.handle.net/20.500.11937/14203
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author Chiong, C.
Rong, Yue
Xiang, Y.
author_facet Chiong, C.
Rong, Yue
Xiang, Y.
author_sort Chiong, C.
building Curtin Institutional Repository
collection Online Access
description In this paper, we propose a blind channel estimation and signal retrieving algorithm for two-hop multiple-input multiple-output (MIMO) relay systems. This new algorithm integrates two blind source separation (BSS) methods to estimate the individual channel state information (CSI) of the source-relay and relay-destination links. In particular, a first-order Z-domain precoding technique is developed for the blind estimation of the relay-destination channel matrix, where the signals received at the relay node are pre-processed by a set of precoders before being transmitted to the destination node. With the estimated signals at the relay node, we propose an algorithm based on the constant modulus and signal mutual information properties to estimate the source-relay channel matrix. Compared with training-based MIMO relay channel estimation approaches, the proposed algorithm has a better bandwidth efficiency as no bandwidth is wasted for sending the training sequences. Numerical examples are shown to demonstrate the performance of the proposed algorithm.
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institution Curtin University Malaysia
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spelling curtin-20.500.11937-142032022-10-12T03:29:26Z Blind channel estimation and signal retrieving for MIMO relay systems Chiong, C. Rong, Yue Xiang, Y. In this paper, we propose a blind channel estimation and signal retrieving algorithm for two-hop multiple-input multiple-output (MIMO) relay systems. This new algorithm integrates two blind source separation (BSS) methods to estimate the individual channel state information (CSI) of the source-relay and relay-destination links. In particular, a first-order Z-domain precoding technique is developed for the blind estimation of the relay-destination channel matrix, where the signals received at the relay node are pre-processed by a set of precoders before being transmitted to the destination node. With the estimated signals at the relay node, we propose an algorithm based on the constant modulus and signal mutual information properties to estimate the source-relay channel matrix. Compared with training-based MIMO relay channel estimation approaches, the proposed algorithm has a better bandwidth efficiency as no bandwidth is wasted for sending the training sequences. Numerical examples are shown to demonstrate the performance of the proposed algorithm. 2016 Journal Article http://hdl.handle.net/20.500.11937/14203 10.1016/j.dsp.2016.02.007 http://purl.org/au-research/grants/arc/DP140102131 fulltext
spellingShingle Chiong, C.
Rong, Yue
Xiang, Y.
Blind channel estimation and signal retrieving for MIMO relay systems
title Blind channel estimation and signal retrieving for MIMO relay systems
title_full Blind channel estimation and signal retrieving for MIMO relay systems
title_fullStr Blind channel estimation and signal retrieving for MIMO relay systems
title_full_unstemmed Blind channel estimation and signal retrieving for MIMO relay systems
title_short Blind channel estimation and signal retrieving for MIMO relay systems
title_sort blind channel estimation and signal retrieving for mimo relay systems
url http://purl.org/au-research/grants/arc/DP140102131
http://hdl.handle.net/20.500.11937/14203