Partial FFT Demodulation for MIMO-OFDM Over Time-Varying Underwater Acoustic Channels

Journal Article (2016)
Author(s)

J. Han (Northwestern Polytechnical University)

Lingling Zhang (Northwestern Polytechnical University)

G Leus (TU Delft - Signal Processing Systems)

Research Group
Signal Processing Systems
DOI related publication
https://doi.org/10.1109/lsp.2015.2514059
More Info
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Publication Year
2016
Language
English
Research Group
Signal Processing Systems
Issue number
2
Volume number
23
Pages (from-to)
282-286

Abstract

Partial FFT demodulation is a newly-emerging technique to mitigate the inter-carrier interference (ICI) of orthogonal frequency division multiplexing (OFDM) systems over time-varying underwater acoustic channels. In this letter, we extend the partial FFT demodulation method for a single-input single-output (SISO) configuration to the multiple-input multiple-output (MIMO) case. By assuming no channel knowledge, we design an adaptive algorithm which performs sliding-window channel estimation, partial FFT combining and data detection across subcarriers iteratively. Furthermore, a new parameter “residual ICI span” is introduced to counteract the post-combining ICI and provide a better system performance.

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