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Adaptive multiuser receivers scheme for MIMO OFDM over iterative-equalization for single-carrier transmission

Adaptive multiuser receivers scheme for MIMO OFDM over iterative-equalization for single-carrier transmission

Eneh, Titus Ikechukwu, Oletu, Grace, Rapajic, Predrag, Anang, Kwashie and Bello, Lawal (2011) Adaptive multiuser receivers scheme for MIMO OFDM over iterative-equalization for single-carrier transmission. Journal of Emerging Trends in Engineering and Applied Sciences (JETEAS), 2 (2). pp. 282-288. ISSN 2141-7016

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Abstract

Adaptive multiuser receivers scheme for MIMO OFDM over Iterative-Equalization for Single-Carrier Transmission, which we refer to as Iterative AMUD MIMO OFDM. It involves the joint iteration of the adaptive minimum mean square error multiuser detection and decoding algorithm with prior information of the channel and interference cancelation in the spatial domain. A partially filtered gradient LMS (Adaptive) algorithm is also applied to improve the convergence speed and tracking ability of the adaptive detectors with slight increase in complexity. The proposed technique is analyzed in slow and fast Rayleigh fading channels in MIMO OFDM systems. The Adaptive Multiuser Detection for MIMO OFDM system (AMUD MIMO OFDM) performs as well as the iterative equalization for single-carrier for higher modulation scheme. The LMS algorithm and maximum a posterior (MAP) algorithm are utilized in the receiver structures. The results of the higher modulation schemes shows that as the modulation order increases, a higher SNR is required to obtain the same BER performance at a lower order. The iterative gain is greater for higher modulation orders as compared with lower modulation.

Item Type: Article
Uncontrolled Keywords: MIMO OFDM, adaptive filter, turbo codes, iterative decoding
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Pre-2014 Departments: School of Engineering
School of Engineering > Mobile & Wireless Communications Research Laboratory
Related URLs:
Last Modified: 14 Oct 2016 09:14
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/5674

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