Abstract
Recently, several approaches have been proposed for the
equalization of orthogonal frequency-division multiplexing (OFDM)
signals in challenging high-mobility scenarios. Among them, a
minimum mean-squared error (MMSE) block linear equalizer (BLE),
based on a band LDL factorization, is particularly attractive for
its good tradeoff between performance and complexity. This paper
extends this approach towards two directions. First, we boost the
BER performance of the BLE by designing a receiver window
specially tailored to the band LDL factorization. Second, we
design an MMSE block decision-feedback equalizer (BDFE) that can
be modified to support receiver windowing. All the proposed banded
equalizers share a similar computational complexity, which is
linear in the number of subcarriers. Simulation results show that
the proposed receiver architectures are effective in reducing the
BER performance degradation caused by the intercarrier
interference (ICI) generated by time-varying channels. We also
consider a basis expansion model (BEM) channel estimation
approach, to establish its impact on the BER performance of the
proposed banded equalizers.