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  5. Channel Estimation for OFDM Modulated Two-Way Relay Networks

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Article
English
2009

Channel Estimation for OFDM Modulated Two-Way Relay Networks

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English
2009
IEEE Transactions on Signal Processing
Vol 57 (11)
DOI: 10.1109/tsp.2009.2026537

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Rui Zhang
Rui Zhang

The Chinese University of Hong Kong

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Feifei Gao
Rui Zhang
Ying‐Chang Liang

Abstract

In this work, we introduce the model of employing orthogonal-frequency-division multiplexing (OFDM) for transmission over time-dispersive channels in the two-way relay network (TWRN), where two source terminals exchange their information through a relay terminal using the amplify-and-forward (AF) relaying scheme. We propose a two-phase training protocol for the channel estimation, which is compatible with the two-phase data transmission scheme. In the first phase, the two source terminals send their individual training sequences concurrently to the relay, while in the second phase the relay amplifies the received training sequences and broadcasts them to both source terminals. We propose two different types of training methods as well as develop their corresponding channel estimation algorithms at each of the two source terminals. The first type of training is <i xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">block</i> based, for which we first estimate the cascaded source-relay-source channels, and then design algorithms to recover the individual channels between sources and relay. The second type of training is pilot-tone (PT) based, for which we propose to directly estimate the individual channels between sources and relay. Moreover, the identifiability issues on the nonambiguous estimate of the channels in both types of proposed training are carefully addressed. Finally, various numerical examples are presented to corroborate our analytical results.

How to cite this publication

Feifei Gao, Rui Zhang, Ying‐Chang Liang (2009). Channel Estimation for OFDM Modulated Two-Way Relay Networks. IEEE Transactions on Signal Processing, 57(11), pp. 4443-4455, DOI: 10.1109/tsp.2009.2026537.

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Publication Details

Type

Article

Year

2009

Authors

3

Datasets

0

Total Files

0

Language

English

Journal

IEEE Transactions on Signal Processing

DOI

10.1109/tsp.2009.2026537

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