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Recursive least squares semi-blind beamforming for MIMO using decision directed adaptation and constant modulus criterion
A new semi-blind adaptive beamforming scheme is proposed for multi-input multi-output (MIMO) induced and space-
division multiple-access based wireless systems that employ high order phase shift keying signaling. A minimum number of training
symbols, very close to the number of receiver antenna elements, are used to provide a rough initial least squares estimate of the
beamformer0s weight vector. A novel cost function combining the constant modulus criterion with decision-directed adaptation is
adopted to adapt the beamformer weight vector. This cost function can be approximated as a quadratic form with a closed-form
solution, based on which we then derive the recursive least squares (RLS) semi-blind adaptive beamforming algorithm. This semi-blind
adaptive beamforming scheme is capable of converging fast to the minimum mean-square-error beamforming solution, as demonstrated
in our simulation study. Our proposed semi-blind RLS beamforming algorithm therefore provides an e±cient detection scheme for the
future generation of MIMO aided mobile communication systems