DocumentCode
1986023
Title
A modified fixed sphere decoding algorithm for under-determined MIMO systems
Author
Chen Qian ; Jingxian Wu ; Zheng, Y.R. ; Zhaocheng Wang
Author_Institution
Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
fYear
2012
fDate
3-7 Dec. 2012
Firstpage
4482
Lastpage
4487
Abstract
A modified FSD algorithm is proposed for under-determined (UD) multiple-input multiple-output (MIMO) systems with N transmit antennas and M <; N receive antennas. This paper focuses on the low-complexity detection of coded UD-MIMO systems with iterative turbo detection, where a soft-input soft-output (SISO) MIMO detector exchanges soft information with a SISO decoder. In the first iteration, a modified fixed complexity sphere decoding (FSD) method is developed by utilizing the structure of a UD-MIMO system. The modified FSD employs a new detection ordering scheme that has a lower complexity but a better performance compared to the conventional ordering scheme. From the second iteration and beyond, the MIMO detector is implemented with a generalized serial interference cancelation (GSIC) scheme and a block decision feedback equalizer (BDFE) to further reduce the complexity. Simulation results show that the newly proposed FSD-GSIC-BDFE structure can achieve significant performance gains over existing schemes, especially for systems with high level modulations.
Keywords
MIMO communication; iterative decoding; iterative methods; receiving antennas; transmitting antennas; N receive antennas; N transmit antennas; block decision feedback equalizer; coded UD-MIMO systems; generalized serial interference cancelation scheme; iterative turbo detection; low-complexity detection; modified FSD algorithm; modified fixed sphere decoding algorithm; second iteration; soft-input soft-output MIMO detector; under determined multiple input multiple output systems; under-determined MIMO systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Global Communications Conference (GLOBECOM), 2012 IEEE
Conference_Location
Anaheim, CA
ISSN
1930-529X
Print_ISBN
978-1-4673-0920-2
Electronic_ISBN
1930-529X
Type
conf
DOI
10.1109/GLOCOM.2012.6503824
Filename
6503824
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