In this thesis, we consider the problem of distributed detection problem in cooperative communication networks when the channel state information (CSI) is unknown. The amplify-and-forward relay strategy is considered in this thesis. Since the CSI is assumed
to be unknown to the system, the joint detection and estimation approach is considered in this work. The proposed scheme in this work differs from existing joint detection and estimation schemes in that it utilizes a distributed approach, which exploits node
cooperation and achieves a better system performance in cooperative communication networks.
Moreover, by contrast to the existing channel estimation and symbol detection schemes, the proposed scheme is mainly developed based on the assumption that the data communication from the source to each relay node is to undergo a correlated fading channel. We derive the joint detection and estimation rules for our problem using the expectation-maximum (EM) algorithm. Simulation results show that the proposed scheme can perform well. Moreover, the obtained results show that the proposed iteration algorithm converges very fast, which implies the proposed scheme can work well in
real-time applications.
| Identifer | oai:union.ndltd.org:NSYSU/oai:NSYSU:etd-0719110-174552 |
| Date | 19 July 2010 |
| Creators | Lin, Hung-Fu |
| Contributors | Yu-Chao Tang, Tsang-Yi Wang, Chih-Peng Li, Chao-Kai Wen, Jwo-Yuh Wu |
| Publisher | NSYSU |
| Source Sets | NSYSU Electronic Thesis and Dissertation Archive |
| Language | English |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0719110-174552 |
| Rights | campus_withheld, Copyright information available at source archive |
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