Low complexity K-Best algorithm based iterative detectors for MIMO-FBMC systems

Filter bank multicarrier (FBMC) modulation has many nice features compared with conventional cyclic prefix-based orthogonal frequency multiplexing (CP-OFDM) and has been considered as a promising waveform candidate for future 5G wireless communication. Combining FBMC with multiple-input multiple-output (MIMO) technology may achieve high data rate. In this paper, we propose the K-Best algorithm based uncoded and coded iterative detectors for MIMO-FBMC systems to approach near maximum-likelihood (ML) performance with low computational complexity. The proposed coded detector is capable of supporting soft-outputs, we can concatenate it with soft-input code, such as the LDPC code, to achieve additional performance gain. Meanwhile, we propose interference cancellation method to eliminate the intrinsic interference in the MIMO-FBMC system. Simulation results prove that the proposed detectors achieve approximate ML performance with moderate complexity.