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Filter bank-based multicarrier (FBMC) systems are currently being consideredas a prevalent candidate for replacing the long established cyclic prefix(CP)-based orthogonal frequency division multiplexing (CP-OFDM) in the physicallayer of next generation communications systems. In particular, FBMC/OQAM hasreceived increasing attention due to, among other features, its potential formaximum spectral efficiency. It suffers, however, from an intrinsicself-interference effect, which complicates signal processing tasks at thereceiver, including synchronization, channel estimation and equalization. In amultiple-input multiple-output (MIMO) configuration, the multi-antennainterference has also to be taken into account. (Semi-)blind FBMC/OQAMreceivers have been little studied so far and mainly for single-antennasystems. The problem of joint channel estimation and data detection in aMIMO-FBMC/OQAM system, given limited or no training information, is studied inthis paper through a tensor-based approach in the light of the success of suchtechniques in OFDM applications. Simulation-based comparisons with CP-OFDM areincluded, for realistic transmission models.

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