Paper Info
Title
Recursive least squares semi-blind beamforming for MIMO using decision directed adaptation and constant modulus criterion
Abstract
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 beamformer’s 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 efficient detection scheme for the future generation of MIMO aided mobile communication systems.
Year
DOI
Venue
2017
10.1007/s11633-017-1087-6
International Journal of Automation and Computing
Keywords
DocType
Volume
Multi-input multi-output (MIMO),space-division multiple-access,beamforming,semi-blind adaptive algorithm,constant modulus criterion,decision-directed adaption
Journal
14
Issue
ISSN
Citations 
4
1751-8520
0
PageRank 
References 
Authors
0.34
28
2
Name
Order
Citations
PageRank
X Hong121619.36
Sheng Chen21035111.98