In this thesis study, joint frequency offset and channel estimation methods for
single-input single-output (SISO) systems are examined. The performance of
maximum likelihood estimate of the parameters are studied for different training
sequences. Conventionally training sequences are designed solely for the channel
estimation purpose. We present a numerical comparison of different training
sequences for the joint estimation problem. The performance comparisons are made
in terms of mean square estimation error (MSE) versus SNR and MSE versus the
total training energy metrics. A novel estimation scheme using complementary
sequences have been proposed and compared with existing schemes. The proposed
scheme presents a lower estimation error than the others in almost all numerical
simulations. The thesis also includes an extension for the joint channel-frequency
offset estimation problem to the multi-input multi-output systems and a brief
discussion for multiple frequency offset case is also given.
| Identifer | oai:union.ndltd.org:METU/oai:etd.lib.metu.edu.tr:http://etd.lib.metu.edu.tr/upload/2/12610149/index.pdf |
| Date | 01 December 2008 |
| Creators | Avan, Muhammet |
| Contributors | Candan, Cagatay |
| Publisher | METU |
| Source Sets | Middle East Technical Univ. |
| Language | English |
| Detected Language | English |
| Type | M.S. Thesis |
| Format | text/pdf |
| Rights | To liberate the content for METU campus |
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