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Enhanced subspaced approach to interference mitigation

Xiao, P, Tafazolli, R, Yin, W and Shaker, SW (2011) Enhanced subspaced approach to interference mitigation In: 2011 11th International Symposium on Communications & Information Technologies (ISCIT 2011), 2011-10-12 - 2011-10-14, Hangzhou, China..

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In this paper, we study an enhanced subspace based approach for the mitigation of multiple access interference (MAI) in direct-sequence code-division multiple-access (DS-CDMA) systems over frequency-selective channels. Blind multiuser detection based on signal subspace estimation is of special interest in mitigating MAI in CDMA systems since it is impractical to assume perfect knowledge of parameters such as spreading codes, time delays and amplitudes of all the users in a rapidly changing mobile environment. We develop a new blind multiuser detection scheme which only needs the priori knowledge of the signature waveform and timing of the user of interest. By exploiting the improper nature of multiple access interference (MAI) and intersymbol interference (ISI), the enhanced detector shows clear superiority to the conventional subspace-based blind multiuser detector. The performance advantages are shown to be more obvious in heavily loaded systems when the number of active users is large. © 2011 IEEE.

Item Type: Conference or Workshop Item (Conference Paper)
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :
Xiao, P
Tafazolli, R
Yin, W
Shaker, SW
Date : 2011
DOI : 10.1109/ISCIT.2011.6089717
Contributors :
Additional Information : © 2011 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Depositing User : Symplectic Elements
Date Deposited : 18 Sep 2013 13:12
Last Modified : 31 Oct 2017 15:12

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