Code-aided quasi-maximum SINR algorithms for blind linear multiuser detection
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- Dr Shouhong Zhu
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| Author(s) | | Zhu S; Constantinides AG |
| Publication type | | Article |
| Journal | | IET Communications |
| Year | | 2007 |
| Volume | | 1 |
| Issue | | 4 |
| Pages | | 638-646 |
| ISSN (print) | | 1751-8628 |
| ISSN (electronic) | | 1751-8636 |
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| Full text for this publication is not currently held within this repository. Alternative links are provided below where available. |
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| 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. |
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| 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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