Abstract
Chi et al. proposed a computationally efficient fast kurtosis maximization algorithm for multiple-input multiple-output linear time-invariant systems. This algorithm is an iterative batch processing algorithm and has been applied to blind source separation (or independent component analysis). This paper considers blind beamforming of multiuser orthogonal frequency division multiplexing (OFDM) systems. Assuming that the channel is static within one OFDM block, a blind beamforming algorithm by kurtosis maximization based on subcarrier averaging over one OFDM block is proposed, which basically comprises source extraction, time delay estimation and compensation, and classification and blind maximum ratio combining. The designed beamformer is exactly the same for all the subcarriers, effectively utilizes multipath diversity for performance gain, and is robust against the effects of correlated sources. Some simulation results are presented to demonstrate the effectiveness of the proposed blind beamforming algorithm.