碩士 / 國立中央大學 / 通訊工程學系 / 101 / Recently, wireless communication technology and media application service grows faster than ever, providers and users all expect higher transmission rate and better Quality of Service (QoS). Because the conventional point-to-point communication is susceptible to channel fading, shadowing effect, and multipath channel effect, communication quality at cell edge or severe shadowing environments is low. Relay networks have been emerged as a promising technology to improve the link quality in severe channel fading and shadowing environments or increase the cell coverage by spatial diversity gain.
In most of the existing literature, it is assumed that the perfect channel state information (CSI) of each link are available at the destination. However, the successful implementation of the relay networks relies on the accurate CSIs of each link.
In this thesis, we propose time-domain channel estimators for relay networks in multipath channels. Based on the maximum likelihood (ML) and minimum mean square error (MMSE) criteria, two kinds of channel estimation methods, integrated and disintegrated, are investigated for estimating relay-to-destination (RD), source-to-relay (SR), or their cascaded channel links. A denoise-and-forward (DF) estimator is proposed to further improve the performance by imposing a denoising matrix to effectively suppress the noise enhancement effect at the relay node. Computer simulation is used to demonstrate the effectiveness of the proposed time-domain channel estimation methods.
| Identifer | oai:union.ndltd.org:TW/101NCU05650120 |
| Date | January 2013 |
| Creators | Hao-hsun Chang, 張顥薰 |
| Contributors | Meng-lin Ku, 古孟霖 |
| Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
| Language | zh-TW |
| Detected Language | English |
| Type | 學位論文 ; thesis |
| Format | 63 |
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