文件名称:An-Efficient-Method-for-Prefilter-Computation-for
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In advanced TDMA mobile communications systems,
reduced-state equalization algorithms have to be employed
because high-level modulation is used in order
to improve spectral efficiency. Such equalizers have
only high performance, if the overall discrete-time
system to be equalized is minimum-phase. Therefore,
in general, a discrete-time prefilter has to be
inserted in front of equalization. In literature, several
approaches have been proposed for computation
of a suitable FIR or IIR prefilter. In this paper,
we present an approach for FIR prefilter computation,
which is quite robust and requires an only moderate
computational complexity. The prefilter consists
of the cascade of a channel-matched filter and
a prediction-error filter, which can be calculated via
the Levinson-Durbin algorithm. Simulation results
are given, which demonstrate that the performance
of the proposed approach is essentially equivalent to
the case of reduced-state equalization combined with
ideal allpass prefiltering.
reduced-state equalization algorithms have to be employed
because high-level modulation is used in order
to improve spectral efficiency. Such equalizers have
only high performance, if the overall discrete-time
system to be equalized is minimum-phase. Therefore,
in general, a discrete-time prefilter has to be
inserted in front of equalization. In literature, several
approaches have been proposed for computation
of a suitable FIR or IIR prefilter. In this paper,
we present an approach for FIR prefilter computation,
which is quite robust and requires an only moderate
computational complexity. The prefilter consists
of the cascade of a channel-matched filter and
a prediction-error filter, which can be calculated via
the Levinson-Durbin algorithm. Simulation results
are given, which demonstrate that the performance
of the proposed approach is essentially equivalent to
the case of reduced-state equalization combined with
ideal allpass prefiltering.
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IEEE_An Efficient Method for Prefilter Computation for Reduced-State Equalization.pdf