Real Time LMMSE Channel Estimation for Wireless OFDM Systems with

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Abstract

In this paper we propose an enhanced low-complexity channel estimation technique for the wireless Orthogonal  frequency-Division Multiplexing (OFDM) systems with transmitter diversity in the presence of multipath propagation. Existing literatures report a significant performance gain when exploiting the frequency correlation properties of a channel
based on the statistical knowledge of the channel parameters. However, a real time knowledge of the system’s
signal-to-noise ratio (SNR) and channel’s r.m.s.delay spread, derived from the Channel Frequency Response (CFR), can further improve the Linear Minimum Mean-Squared Error (LMMSE) estimation,especially if the OFDM training symbols used require interpolation at the receiver end. With the additional preprocessing on the CFR, applied before the LMMSE
estimation, and with the knowledge of SNR, the proposed channel estimation technique shows up to 2dB improved performance gain for the high SNR’s over a single-fixed set case scenario LMMSE estimator in terms of the Mean-Squared Error (MSE) by computer simulations.

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