Blind channel estimation : multivarate approach
In the case of fading communication links, like the mobile radio channels, blind channel equalization techniques can potentially eliminate the need for periodic training of the receiver. This results in increased band width efficiency. This work addresses the problem of blind channel estimation na r...
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| Other Authors: | |
| Format: | Thesis |
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2008
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| Online Access: | http://hdl.handle.net/10356/3634 |
| _version_ | 1826112360517992448 |
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| author | Bellur, Vinayak. |
| author2 | Ong, Patrick |
| author_facet | Ong, Patrick Bellur, Vinayak. |
| author_sort | Bellur, Vinayak. |
| collection | NTU |
| description | In the case of fading communication links, like the mobile radio channels, blind channel equalization techniques can potentially eliminate the need for periodic training of the receiver. This results in increased band width efficiency. This work addresses the problem of blind channel estimation na rising in the context of digital communications. It demonstrates that by using certain precoding and interleaving techniques at the transmitter, and certain principles of Multirate filter theory, it is possible to induce cyclo stationarity in the transmitted symbols. This cyclo stationarity property can be exploited at the receiver by considering the poly phase decomposition of the received channel output. The received symbols are arranged interms of their polyphase components using the principles of Multirate theory, and processing this arrangement with the help of an adaptive algorithm, gives a fairly accurate estimate of the channel. These estimates are then used for the procedure of equalization. |
| first_indexed | 2024-10-01T03:05:43Z |
| format | Thesis |
| id | ntu-10356/3634 |
| institution | Nanyang Technological University |
| last_indexed | 2024-10-01T03:05:43Z |
| publishDate | 2008 |
| record_format | dspace |
| spelling | ntu-10356/36342023-07-04T15:43:14Z Blind channel estimation : multivarate approach Bellur, Vinayak. Ong, Patrick School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Wireless communication systems In the case of fading communication links, like the mobile radio channels, blind channel equalization techniques can potentially eliminate the need for periodic training of the receiver. This results in increased band width efficiency. This work addresses the problem of blind channel estimation na rising in the context of digital communications. It demonstrates that by using certain precoding and interleaving techniques at the transmitter, and certain principles of Multirate filter theory, it is possible to induce cyclo stationarity in the transmitted symbols. This cyclo stationarity property can be exploited at the receiver by considering the poly phase decomposition of the received channel output. The received symbols are arranged interms of their polyphase components using the principles of Multirate theory, and processing this arrangement with the help of an adaptive algorithm, gives a fairly accurate estimate of the channel. These estimates are then used for the procedure of equalization. Master of Science (Signal Processing) 2008-09-17T09:34:08Z 2008-09-17T09:34:08Z 2004 2004 Thesis http://hdl.handle.net/10356/3634 Nanyang Technological University application/pdf |
| spellingShingle | DRNTU::Engineering::Electrical and electronic engineering::Wireless communication systems Bellur, Vinayak. Blind channel estimation : multivarate approach |
| title | Blind channel estimation : multivarate approach |
| title_full | Blind channel estimation : multivarate approach |
| title_fullStr | Blind channel estimation : multivarate approach |
| title_full_unstemmed | Blind channel estimation : multivarate approach |
| title_short | Blind channel estimation : multivarate approach |
| title_sort | blind channel estimation multivarate approach |
| topic | DRNTU::Engineering::Electrical and electronic engineering::Wireless communication systems |
| url | http://hdl.handle.net/10356/3634 |
| work_keys_str_mv | AT bellurvinayak blindchannelestimationmultivarateapproach |