In this paper, we design an minimum meansquare
error (MMSE)-type channel estimation scheme in
orthogonal frequency division multiplexing-based wireless
systems. By using the averaged channel frequency response
(CFR) of pilot symbols in a group as a representative CFR ,
the proposed MMSE channel estimator can reduce the
mean-square error (MSE) of channel estimation by achieving
the signal-to-noise ratio (SNR) gain without increasing the
computational complexity compared to conventional MMSE
channel estimator. The grouping size of pilot symbols is
optimized to minimize the MSE according to the channel
correlation characteristics. Finally, the performance of the
proposed channel estimation scheme is verified by computer
simulation.This work was in part supported by the IT R&D
program of MKE/IITA (2008-F-007-01, Intelligent
Wireless Communication Systems in 3 Dimensional
Environment)
