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 ; 						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
- 2025-10-14 12:22:17
@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}},
}