Reduced complexity signal detection and channel estimation for iterative MIMO-OFDM systems

Licai Fang

    Research output: ThesisDoctoral Thesis

    156 Downloads (Pure)

    Abstract

    Multi-Input Multi-Output (MIMO) is a key technology in broadband wireless communications. Conventional MIMO detection and channel estimation algorithms require a matrix inversion with cubic complexity, which is a major challenge for practical implementation. In this thesis, we have proposed several approximation methods to reduce the complexity to a quadratic level. The proposed methods are particularly useful for massive MIMO systems. In addition, an interpolation based method is proposed to reduce the number of matrix inversion required for data detection of massive MIMO-OFDM (Orthogonal Frequency Division Multiplexing) systems.
    Original languageEnglish
    QualificationDoctor of Philosophy
    Awarding Institution
    • The University of Western Australia
    Award date11 Jan 2017
    Publication statusUnpublished - 2016

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