Work

OFDM channel estimation by singular value decomposition

Year: 1998

Type: article

Abstract: We present and analyze low-rank channel estimators for orthogonal frequency-division multiplexing (OFDM) systems using the frequency correlation of the channel. Low-rank approximations based on the discrete Fourier transform (DFT) have been proposed, but these suffer from poor performance when the channel is not sample spaced. We apply the theory of optimal rank-reduction to linear minimum mean-squared error (LMMSE) estimators and show that these estimators, when using a fixed design, are robust to changes in channel correlation and signal-to-noise ratio (SNR). The performance is presented in terms of uncoded symbol-error rate (SER) for a system using 16-quadrature amplitude modulation (QAM).

Source: IEEE Transactions on Communications

DOI: 10.1109/26.701321

Authors: O. Edfors, M. Sandell, J.-J. van de Beek, S.K. Wilson, P.O. Borjesson

Institutions: Lund University, Luleå University of Technology

Language: English

Topic: Advanced Wireless Communication Techniques

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W2157195543

FWCI: 14.9

Cites: 15

Cited by: 1,544

Related to: 10