Equalization of OSDM over time-varying channels based on diagonal-block-banded matrix enhancement

Journal Article (2020)
Author(s)

Jing Han (Northwestern Polytechnical University)

Yujie Wang (Northwestern Polytechnical University)

Zehui Gong (Northwestern Polytechnical University)

Geert Leus (TU Delft - Signal Processing Systems)

Research Group
Signal Processing Systems
DOI related publication
https://doi.org/10.1016/j.sigpro.2019.107333
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Publication Year
2020
Language
English
Research Group
Signal Processing Systems
Volume number
168
Article number
107333
Pages (from-to)
1-6
Downloads counter
308
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Abstract

Orthogonal signal-division multiplexing (OSDM) has recently emerged as a promising alternative to orthogonal frequency division multiplexing (OFDM) for high-rate wireless communications. Although providing more flexibility in system design, it suffers from a special interference structure, namely inter-vector interference (IVI), when channel time variations are present. In this paper, we first derive the general OSDM signal model over time-varying channels, and then show that a time-domain window can be used to enhance the diagonal-block-banded (DBB) approximation of the channel matrix in a transformed domain. Furthermore, based on the DBB matrix enhancement, a low-complexity OSDM equalization algorithm is designed. Simulation results indicate that the proposed equalizer has significant performance advantages over that using the direct DBB approximation.

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