1 research outputs found
A Tensor-based Approach to Joint Channel Estimation / Data Detection in Flexible Multicarrier MIMO Systems
Filter bank-based multicarrier (FBMC) systems have attracted increasing
attention recently in view of their many advantages over the classical cyclic
prefix (CP)-based orthogonal frequency division multiplexing (CP-OFDM)
modulation. However, their more advanced structure (resulting in, for example,
self interference) complicates signal processing tasks at the receiver,
including synchronization, channel estimation and equalization. In a
multiple-input multiple-output (MIMO) configuration, the multi-antenna
interference has also to be taken into account. (Semi-) blind receivers, of
increasing interest in (massive) MIMO systems, have been little studied so far
for FBMC and mainly for the single-antenna case only. The design of such
receivers for flexible MIMO FBMC systems, unifying a number of existing FBMC
schemes, is considered in this paper through a tensor-based approach, which is
shown to encompass existing joint channel estimation and data detection
approaches as special cases, adding to their understanding and paving the way
to further developments. Simulation-based results are included, for realistic
transmission models, demonstrating the estimation and detection performance
gains from the adoption of these receivers over their training only-based
counterparts.Comment: arXiv admin note: text overlap with arXiv:1609.0966