DocumentCode :
692080
Title :
A Low Complexity Loglikelihood Ratio Scheme in Coded Multiple-Input Multiple-Output Systems
Author :
Xu Qiang ; Zhu Xudong ; Huang Yanhui
Author_Institution :
Center of Inf. Technol. China, Gen. Nucl. Power Corp., China
fYear :
2013
fDate :
16-18 Oct. 2013
Firstpage :
627
Lastpage :
629
Abstract :
The higher data rate in coded MIMO systems needs higher performance and lower computational complexity. This paper proposes a method to improve the performance and reduce the computational complexity in coded MIMO system, such as IEEE 802.11ac. The proposed scheme based on log likelihood ratio with QRM-MLD (QRM-MLD-LLR) needs to expand the estimated channel matrix H by MMSE scheme firstly, and use the partial constellations set S to replace the all constellations set C to reduce the computational complexity by the MMSE-SIC method secondly. Simulation results show that the proposed scheme with expanding H by MMSE can obtain better performance than non-expanding H, the proposed scheme can reduce more than 70% computational complexity but keep only 0.5dB performance loss.
Keywords :
MIMO communication; channel coding; channel estimation; computational complexity; interference suppression; least mean squares methods; matrix algebra; maximum likelihood detection; radiofrequency interference; IEEE 802.11ac standard; MMSE-SIC method; QRM-MLD-LLR; channel matrix estimation; coded MIMO system; coded multiple-input multiple-output system; computational complexity; loss 0.5 dB; low complexity log likelihood ratio scheme; maximum likelihood detection; partial constellations set; serial interference cancellation; Channel estimation; Computational complexity; MIMO; Measurement; Receiving antennas; Simulation; QRM-MLD LLR MMSE-SIC MIMO;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Information Hiding and Multimedia Signal Processing, 2013 Ninth International Conference on
Conference_Location :
Beijing
Type :
conf
DOI :
10.1109/IIH-MSP.2013.161
Filename :
6846717
Link To Document :
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