OFDM channel estimation by singular value decomposition
(1996) IEEE Vehicular Technology Conference, 1996 2. p.923-927- Abstract
- A new approach to low-complexity channel estimation in orthogonal-frequency division multiplexing (OFDM) systems is proposed. A low-rank approximation is applied to a linear minimum mean-squared error (LMMSE) estimator that uses the frequency correlation of the channel. By using the singular value decomposition (SVD) an optimal low-rank estimator is derived, where performance is essentially preserved-even for low computational complexities. A fixed estimator, with nominal values for channel correlation and signal-to-noise ratio (SNR), is analysed. Analytical mean-squared error (MSE) and symbol-error rates (SER) are presented for a 16-QAM OFDM system
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1056136
- author
- Edfors, Ove LU ; Sandell, Magnus ; van de Beek, Jan-Jaap ; Wilson, Sarah Kate and Börjesson, Per Ola LU
- organization
- publishing date
- 1996
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- [Host publication title missing]
- volume
- 2
- pages
- 923 - 927
- conference name
- IEEE Vehicular Technology Conference, 1996
- conference location
- Atlanta, GA, United States
- conference dates
- 1996-04-28 - 1996-05-01
- external identifiers
-
- scopus:0029708266
- ISBN
- 0-7803-3157-5
- DOI
- 10.1109/VETEC.1996.501446
- language
- English
- LU publication?
- yes
- id
- 5c296b9b-60ec-4e09-8fb4-639421166d39 (old id 1056136)
- date added to LUP
- 2016-04-04 14:08:20
- date last changed
- 2024-03-31 00:04:19
@inproceedings{5c296b9b-60ec-4e09-8fb4-639421166d39, abstract = {{A new approach to low-complexity channel estimation in orthogonal-frequency division multiplexing (OFDM) systems is proposed. A low-rank approximation is applied to a linear minimum mean-squared error (LMMSE) estimator that uses the frequency correlation of the channel. By using the singular value decomposition (SVD) an optimal low-rank estimator is derived, where performance is essentially preserved-even for low computational complexities. A fixed estimator, with nominal values for channel correlation and signal-to-noise ratio (SNR), is analysed. Analytical mean-squared error (MSE) and symbol-error rates (SER) are presented for a 16-QAM OFDM system}}, author = {{Edfors, Ove and Sandell, Magnus and van de Beek, Jan-Jaap and Wilson, Sarah Kate and Börjesson, Per Ola}}, booktitle = {{[Host publication title missing]}}, isbn = {{0-7803-3157-5}}, language = {{eng}}, pages = {{923--927}}, title = {{OFDM channel estimation by singular value decomposition}}, url = {{https://lup.lub.lu.se/search/files/6289557/1056818.pdf}}, doi = {{10.1109/VETEC.1996.501446}}, volume = {{2}}, year = {{1996}}, }