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Code-aided quasi-maximum SINR algorithms for blind linear multiuser detection

Lookup NU author(s): Dr Shouhong Zhu

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Abstract

The problem of blind linear data-symbol estimation and data detection for the air- interface adopting the wide-band direct sequence code division multiple access multiuser multiplexing technique with the promising short-code configurations has been addressed. The superior interference-suppression ability of the code-constrained minimum output energy multipath- component estimation is utilised to develop three code-aided quasi-maximum signal-to-interference and noise ratio (SINR) algorithms. These algorithms operate in such a way as to maximise approximate measures of the output SINR, each having variations, especially in the adaptive implementation, because of different criteria employed. The 'quasi-maximum SINR' nature is because of the approximations employed. Extensive simulations indicate that all of these algorithms significantly outperform the existing code-aided blind linear algorithms at considerably low computational complexity. Moreover their adaptive versions exhibit very high level of desirable trade-off between convergence speed and steady-state performance at further reduced computational complexity.

Publication metadata

Author(s): Zhu S; Constantinides AG

Publication type: Article

Publication status: Published

Journal: IET Communications

Year: 2007

Volume: 1

Issue: 4

Pages: 638-646

ISSN (print): 1751-8628

ISSN (electronic): 1751-8636

Publisher: Institution of Engineering and Technology

URL: http://dx.doi.org/10.1049/iet-com:20060022

DOI: 10.1049/iet-com:20060022

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