Interference-aware multi-iterative equalization and detection for frequency-selective MIMO channels

TitleInterference-aware multi-iterative equalization and detection for frequency-selective MIMO channels
Publication TypeConference Paper
Year of Publication2016
AuthorsSeifert, T., Song X., & Fettweis G.
Published in2016 IEEE International Conference on Communications (ICC)
Date Published10/2016
Keywordschannel estimation, channel length, communication complexity, Complexity theory, Detectors, frequency selective surfaces, Frequency-domain analysis, frequency-domain equalization, frequency-selective MIMO channels, Interference, interference reduction, interference suppression, interference-aware multiiterative detection, interference-aware multiiterative equalization, intersymbol interference, intersymbol interferences, ISI, MIMO, MIMO communication, multiantenna interference reduction, multiiterative receiver, multiple-input multiple-output systems, processing complexity, Receivers, signal detection, time-domain analysis, time-domain sphere detection, Transmitting antennas, tree searching, tree-search based MIMO detection technique, turbo equalization, wireless channels, wireless transmission

Turbo equalization has demonstrated to be a powerful approach for wireless transmission over frequency-selective channels introducing intersymbol interferences (ISI). Regarding multiple-input multiple-output (MIMO) systems, tree-search based MIMO detection techniques (e.g., sphere detection) are well suited for significantly reducing multi-antenna interferences. However, direct application of these detection techniques under the presence of ISI leads to vast processing complexity, increasing exponentially with the channel length and the number of transmitting antennas. In this paper, a low-complex two-stage approach is described splitting the interference reduction into a frequency-domain equalization stage and a time-domain sphere detection stage. Both are able to take a-priori information into account. Based on this, we derive a novel multi-iterative receiver, enabling powerful and adaptable processing with respect to the dominating interferences.

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