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 2141-7016Full text not available from this repository.
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.
|Uncontrolled Keywords:||MIMO OFDM, adaptive filter, turbo codes, iterative decoding|
|Subjects:||T Technology > TK Electrical engineering. Electronics Nuclear engineering|
|School / Department / Research Groups:||School of Engineering
Faculty of Engineering & Science > School of Engineering
School of Engineering > Mobile & Wireless Communications Research Laboratory
Faculty of Engineering & Science > School of Engineering > Mobile & Wireless Communications Research Laboratory
|Last Modified:||14 Dec 2011 14:43|
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