Al-Ayyan, F. O. ; Leung, Y. H. ; Zoubir, A. M. (2005)
A Fast Blind Channel Estimation Method for ZP-OFDM Systems.
13th IEEE Workshop on Statistical Signal Processing. Bordeaux, France (17.07.2005-20.07.2005)
doi: 10.1109/SSP.2005.1628676
Conference or Workshop Item, Bibliographie
Abstract
We develop an adaptive blind channel estimation method for an OFDM system using zero padding based on the minimum noise subspace. By applying the gradient method, a new adaptive algorithm is derived that have a number of attractive properties such as low computational complexity and good numerical stability. We extend the idea of spatial diversity for the proposed system to obtain high performance in the presence of additive channel noise. A suitable pre-FFT zero-forcing linear equalizer is also proposed. It is shown that the proposed method is computationally more efficient than existing systems and is consider as a powerful tools for the spatial diversity.
| Item Type: | Conference or Workshop Item |
|---|---|
| Erschienen: | 2005 |
| Creators: | Al-Ayyan, F. O. ; Leung, Y. H. ; Zoubir, A. M. |
| Type of entry: | Bibliographie |
| Title: | A Fast Blind Channel Estimation Method for ZP-OFDM Systems |
| Language: | English |
| Date: | 21 July 2005 |
| Publisher: | IEEE |
| Book Title: | 2005 IEEE/SP 13th Workshop on Statistical Signal Processing |
| Event Title: | 13th IEEE Workshop on Statistical Signal Processing |
| Event Location: | Bordeaux, France |
| Event Dates: | 17.07.2005-20.07.2005 |
| DOI: | 10.1109/SSP.2005.1628676 |
| Abstract: | We develop an adaptive blind channel estimation method for an OFDM system using zero padding based on the minimum noise subspace. By applying the gradient method, a new adaptive algorithm is derived that have a number of attractive properties such as low computational complexity and good numerical stability. We extend the idea of spatial diversity for the proposed system to obtain high performance in the presence of additive channel noise. A suitable pre-FFT zero-forcing linear equalizer is also proposed. It is shown that the proposed method is computationally more efficient than existing systems and is consider as a powerful tools for the spatial diversity. |
| Divisions: | 18 Department of Electrical Engineering and Information Technology 18 Department of Electrical Engineering and Information Technology > Institute for Telecommunications 18 Department of Electrical Engineering and Information Technology > Institute for Telecommunications > Signal Processing |
| Date Deposited: | 09 Oct 2014 12:04 |
| Last Modified: | 15 Nov 2023 11:43 |
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