OFDM channel estimation by singular value decomposition

Forskningsoutput: Kapitel i bok/rapport/Conference proceedingKonferenspaper i 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

Detaljer

Författare
Enheter & grupper
Forskningsområden

Ämnesklassifikation (UKÄ) – OBLIGATORISK

  • Elektroteknik och elektronik
Originalspråkengelska
Titel på värdpublikation[Host publication title missing]
Sidor923-927
Volym2
StatusPublished - 1996
PublikationskategoriForskning
Peer review utfördJa
EvenemangIEEE Vehicular Technology Conference, 1996 - Atlanta, GA, USA
Varaktighet: 1996 apr 281996 maj 1

Publikationsserier

Namn
Volym2

Konferens

KonferensIEEE Vehicular Technology Conference, 1996
LandUSA
OrtAtlanta, GA
Period1996/04/281996/05/01

Nedladdningar

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