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A comparison of DFT...
A comparison of DFT and SVD based channel estimation in MIMO OFDM systems
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- Hammarberg, Peter (author)
- Lund University,Lunds universitet,Institutionen för elektro- och informationsteknik,Institutioner vid LTH,Lunds Tekniska Högskola,Department of Electrical and Information Technology,Departments at LTH,Faculty of Engineering, LTH
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- Edfors, Ove (author)
- Lund University,Lunds universitet,Institutionen för elektro- och informationsteknik,Institutioner vid LTH,Lunds Tekniska Högskola,Department of Electrical and Information Technology,Departments at LTH,Faculty of Engineering, LTH
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(creator_code:org_t)
- 2006
- 2006
- English 5 s.
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In: 2006 IEEE 17th International Symposium on Personal, Indoor and Mobile Radio Communications (IEEE Cat. No. 06TH8881). - 1424403294
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Abstract
Subject headings
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- In this paper two simplified transform based estimators for MIMO OFDM systems using the DFT and an SVD based transform are compared over a tapped delay line channel model. In the resulting symbol error rate plots, it is seen that the DFT based estimator experiences an error floor caused by the mismatch between the discrete time model and a continuous time reality. This error floor becomes a problem at high SNR levels where high data-rate systems can be expected to operate. When using an SVD based estimator it is seen that this error floor is reduced at the cost of a somewhat increased estimator complexity
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering (hsv//eng)
Keyword
- symbol error rate
- tapped delay line channel model
- orthogonal frequency division multiplexing
- multiple input multiple output systems
- MIMO OFDM systems
- singular value decomposition
- SVD based channel estimation
- DFT based channel estimation
- discrete Fourier transform
- SNR
- signal-to-noise ratio
- high data-rate systems
- discrete time model
- continuous time reality
Publication and Content Type
- kon (subject category)
- ref (subject category)
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