OFDM channel estimation by singular value decomposition

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceeding

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

Details

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Subject classification (UKÄ) – MANDATORY

  • Electrical Engineering, Electronic Engineering, Information Engineering
Original languageEnglish
Title of host publication[Host publication title missing]
Pages923-927
Volume2
Publication statusPublished - 1996
Publication categoryResearch
Peer-reviewedYes
EventIEEE Vehicular Technology Conference, 1996 - Atlanta, GA, United States
Duration: 1996 Apr 281996 May 1

Publication series

Name
Volume2

Conference

ConferenceIEEE Vehicular Technology Conference, 1996
CountryUnited States
CityAtlanta, GA
Period1996/04/281996/05/01

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