Channel estimation in a two-way relay network

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.

Name thesis:degree_name

Master of Applied Science (MASc)

Discipline thesis:degree_discipline

Electrical and Computer Engineering

Grantor

University of Ontario Institute of Technology

Year dc:date.issued

2011

Author dc:creator

• Nwaekwe, Chinwe M.

Advisor dc:contributor.advisor

• ShahbazPanahi, Shahram

• Channel estimation
• Amplify and forward (AF)
• Two-way relay network
• Maximum likelihood
• Mean square error (MSE)

Language dc:language.iso

en

Handle dc:identifier.uri

https://hdl.handle.net/10155/174

OAI identifier oai:identifier

oai:ontariotechu.scholaris.ca:10155/174