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Recursive least squares semi-blind beamforming for MIMO using decision directed adaptation and constant modulus criterion

Recursive least squares semi-blind beamforming for MIMO using decision directed adaptation and constant modulus criterion
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 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.
1476-8186
442-449
Hong, Xia
6003f7b0-8a93-4606-b00d-66a6e14fdcc3
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80
Hong, Xia
6003f7b0-8a93-4606-b00d-66a6e14fdcc3
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80

Hong, Xia and Chen, Sheng (2017) Recursive least squares semi-blind beamforming for MIMO using decision directed adaptation and constant modulus criterion. International Journal of Automation and Computing, 14 (4), 442-449. (doi:10.1007/s11633-017-1087-6).

Record type: Article

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.

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Accepted/In Press date: 9 March 2017
e-pub ahead of print date: 21 June 2017
Organisations: Southampton Wireless Group

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Local EPrints ID: 412053
URI: http://eprints.soton.ac.uk/id/eprint/412053
ISSN: 1476-8186
PURE UUID: a574f2f0-84de-4b88-9095-3ac921f93c20

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Date deposited: 05 Jul 2017 16:31
Last modified: 07 Oct 2020 06:20

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