Blind identification of multipath channels
Blind equalizers do not require any known training sequence during the startup period, but can rather perform the equalization based on the received data stream. This project addresses the realtime digital communications problem whereby a digital signal source is transmitting through an unknown cont...
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| Format: | Thesis |
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2010
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| Online Access: | http://hdl.handle.net/10356/39023 |
| _version_ | 1826122691075112960 |
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| author | Ngui, Wei Kheng. |
| author2 | Ong, Patrick |
| author_facet | Ong, Patrick Ngui, Wei Kheng. |
| author_sort | Ngui, Wei Kheng. |
| collection | NTU |
| description | Blind equalizers do not require any known training sequence during the startup period, but can rather perform the equalization based on the received data stream. This project addresses the realtime digital communications problem whereby a digital signal source is transmitting through an unknown continuous noisy propagation medium or channel which is subjected to multipath effects and possibly non-minimum phase. By oversampling the received signal compared to its emission rate, the unknown noisy channel characteristics can be identified and the original signal reconstructed. The technique used to recover the signal is based on the orthogonality property between the signal and noise subspaces. This report presents the results of investigation into the blind approach for the identification of the channel. |
| first_indexed | 2024-10-01T05:52:20Z |
| format | Thesis |
| id | ntu-10356/39023 |
| institution | Nanyang Technological University |
| last_indexed | 2024-10-01T05:52:20Z |
| publishDate | 2010 |
| record_format | dspace |
| spelling | ntu-10356/390232023-07-04T16:48:19Z Blind identification of multipath channels Ngui, Wei Kheng. Ong, Patrick School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems Blind equalizers do not require any known training sequence during the startup period, but can rather perform the equalization based on the received data stream. This project addresses the realtime digital communications problem whereby a digital signal source is transmitting through an unknown continuous noisy propagation medium or channel which is subjected to multipath effects and possibly non-minimum phase. By oversampling the received signal compared to its emission rate, the unknown noisy channel characteristics can be identified and the original signal reconstructed. The technique used to recover the signal is based on the orthogonality property between the signal and noise subspaces. This report presents the results of investigation into the blind approach for the identification of the channel. Master of Science (Communications and Computer Networking) 2010-05-21T03:45:37Z 2010-05-21T03:45:37Z 1997 1997 Thesis http://hdl.handle.net/10356/39023 NANYANG TECHNOLOGICAL UNIVERSITY 138 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems Ngui, Wei Kheng. Blind identification of multipath channels |
| title | Blind identification of multipath channels |
| title_full | Blind identification of multipath channels |
| title_fullStr | Blind identification of multipath channels |
| title_full_unstemmed | Blind identification of multipath channels |
| title_short | Blind identification of multipath channels |
| title_sort | blind identification of multipath channels |
| topic | DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems |
| url | http://hdl.handle.net/10356/39023 |
| work_keys_str_mv | AT nguiweikheng blindidentificationofmultipathchannels |