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OFDM channel estimation by singular value decomposition

Författare:
Publiceringsår: 1996
Språk: Engelska
Sidor: 923-927
Volym: 2
Dokumenttyp: Konferensbidrag

Sammanfattning

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

Disputation

Nyckelord

  • Technology and Engineering

Övriga

IEEE Vehicular Technology Conference
1996-04-28/1996-05-01
Atlanta, GA, USA
Published
Yes
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  • ISBN: 0-7803-3157-5

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