DocumentCode :
2727951
Title :
An active constellation extension architecture for STBC MIMO decoding
Author :
Hu, Feng ; Jin, Libiao ; Li, Jianzeng ; Wu, Fang
Author_Institution :
Sch. of Inf. Eng., Commun. Univ. of China, Beijing, China
fYear :
2011
fDate :
15-17 July 2011
Firstpage :
128
Lastpage :
132
Abstract :
This paper deals with the Maximum Likelihood (ML) decoding of the space-time block coding (STBC) scheme used in multiple-input-multiple output (MIMO) communication systems. Assume the existing wireless communication is the quasi-static fading channel scenario. Then the detection of the ML decoder will get very wretched especially when the decision statistic is large at the receiver side. To fix this drawback, the so-called active constellation extension (ACE) algorithm has been proposed to rectify the minimum Euclidean distance for ML decoding where the communication parameters are estimated. This paper presents a detailed study of diversity coding for MIMO systems. Different Complex orthogonal STBC for 3 and 4 transmit antennas are envisaged. Finally, these STBC techniques are implemented and analyzed for performance according to their bit error rates (BER) using QPSK, 8PSK, and 16-QAM modulation scenarios, and simulations are used to validate the robustness of our proposed scheme for Rayleigh fading channels.
Keywords :
MIMO communication; Rayleigh channels; channel coding; diversity reception; error statistics; maximum likelihood decoding; orthogonal codes; quadrature amplitude modulation; quadrature phase shift keying; space-time block codes; transmitting antennas; 16-QAM modulation; 8PSK; Euclidean distance; ML decoder; QPSK; Rayleigh fading channels; STBC MIMO decoding; active constellation extension architecture; bit error rates; decision statistic; diversity coding; maximum likelihood decoding; multiple input multiple output communication system; quasistatic fading channel scenario; space-time block coding scheme; transmit antennas; wireless communication; Block codes; Channel estimation; Fading; MIMO; Maximum likelihood decoding; Transmitting antennas; ACE; MIMO; ML; STBC; decoding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Engineering and Service Science (ICSESS), 2011 IEEE 2nd International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-9699-0
Type :
conf
DOI :
10.1109/ICSESS.2011.5982271
Filename :
5982271
Link To Document :
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