In wireless communications, channel estimation is necessary for coherent symbol detection.
This thesis considers a network which consists of two transceivers communicating
with the help of a relay applying the amplify-and-forward (AF) relaying scheme. The
training based channel estimation technique is applied to the proposed network where
the numbers of the training sequence transmitted by the two transceivers, are different.
All three terminals are equipped with a single antenna for signal transmission and reception.
Communication between the transceivers is carried out in two phases. In the
first phase, each transceiver sends a transmission block of data embedded with known
training symbols to the relay. In the second phase, the relay retransmits an amplified
version of the received signal to both transceivers. Estimates of the channel coefficients
are obtained using the Maximum Likelihood (ML) estimator. The performance analysis
of the derived estimates are carried out in terms of the mean squared error (MSE) and
we determine conditions required to increase the estimation accuracy. / UOIT
| Identifer | oai:union.ndltd.org:LACETR/oai:collectionscanada.gc.ca:OOSHDU.10155/174 |
| Date | 01 August 2011 |
| Creators | Nwaekwe, Chinwe M. |
| Contributors | ShahbazPanahi, Shahram |
| Source Sets | Library and Archives Canada ETDs Repository / Centre d'archives des thèses électroniques de Bibliothèque et Archives Canada |
| Language | English |
| Detected Language | English |
| Type | Thesis |
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