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Improved soft-decision feedback turbo equalization algorithm with dual equalizers
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DOI：10.1016/j.aeue.2022.154436.png)
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Abstract
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In this paper, we propose a new soft-decision feedback equalization (SDFE) technique using dual equalizers (DE) over inter-symbol inference (ISI) channels. Unlike the most existing SDFE algorithms, the proposed DE-SDFE can efficiently suppress the residual interference from anti-causal symbols. In the proposed DE-SDFE, the scaled a posteriori information of the first equalizer is passed to the second one as the new a priori information. Furthermore, in order to handle the dependency within soft information, the scaling factor is theoretically derived. Simulation results reveal that the proposed DE-SDFE remarkably outperforms the state-of-the-art soft-decision turbo equalizers, with a complexity just twice that of the SDFE.
Keywords:
Dual equalizers
Turbo soft-decision feedback equalizer
Scaled a posteriori information
Residual interference
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