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Joint Channel Estimation / Data Detection in MIMO-FBMC/OQAM Systems - A\n Tensor-Based Approach

2016/09/30 by Eleftherios Kofidis, Christos Chatzichristos, Kofidis, Eleftherios +3 · 1 citation
Computer Science · Engineering · #Advanced Wireless Communication Techniques #FOS: Computer and information sciences #Information Theory (cs.IT) #PAPR reduction in OFDM #Wireless Communication Networks Research

paper · pdf · doi:10.48550/arxiv.1609.09661

openalex publication_date 2016/09/30 · openalex created_date 2022/12/27 · openalex updated_date 2026/07/28

Abstract

Filter bank-based multicarrier (FBMC) systems are currently being considered\nas a prevalent candidate for replacing the long established cyclic prefix\n(CP)-based orthogonal frequency division multiplexing (CP-OFDM) in the physical\nlayer of next generation communications systems. In particular, FBMC/OQAM has\nreceived increasing attention due to, among other features, its potential for\nmaximum spectral efficiency. It suffers, however, from an intrinsic\nself-interference effect, which complicates signal processing tasks at the\nreceiver, including synchronization, channel estimation and equalization. In a\nmultiple-input multiple-output (MIMO) configuration, the multi-antenna\ninterference has also to be taken into account. (Semi-)blind FBMC/OQAM\nreceivers have been little studied so far and mainly for single-antenna\nsystems. The problem of joint channel estimation and data detection in a\nMIMO-FBMC/OQAM system, given limited or no training information, is studied in\nthis paper through a tensor-based approach in the light of the success of such\ntechniques in OFDM applications. Simulation-based comparisons with CP-OFDM are\nincluded, for realistic transmission models.\n

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