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1. 国防科学技术大学电子科学与工程学院,湖南 长沙410073
2. 中国西南电子技术研究所,四川 成都610036
[ "景常乐(1991-),男,甘肃泾川人,国防科学技术大学硕士生,主要研究方向为MIMO检测。" ]
[ "王欣(1980-),男,陕西汉中人,博士,国防科学技术大学讲师,主要研究方向为通信信号处理与通信系统。" ]
[ "魏急波(1967-),男,湖北汉川人,国防科学技术大学教授、博士生导师,主要研究方向为通信信号处理与通信网络。" ]
[ "陈彬(1988-),男,江西上饶人,国防科学技术大学博士生,主要研究方向为MIMO检测、大规模MIMO与物理层安全技术。" ]
[ "吴世奇(1983-),男,四川犍为人,中国西南电子技术研究所高级工程师,主要研究方向为宽带无线通信系统与信号处理技术。" ]
网络出版日期:2016-04,
纸质出版日期:2016-04-25
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景常乐, 王欣, 魏急波, 等. 基于空间交替广义最大似然的低复杂度列表检测[J]. 通信学报, 2016,37(4):192-198.
Chang-le JING, Xin WANG, Ji-bo WEI, et al. Space alternating generalized maximum-likelihood based low-complexity list detection algorithm[J]. Journal of communications, 2016, 37(4): 192-198.
景常乐, 王欣, 魏急波, 等. 基于空间交替广义最大似然的低复杂度列表检测[J]. 通信学报, 2016,37(4):192-198. DOI: 10.11959/j.issn.1000-436x.2016086.
Chang-le JING, Xin WANG, Ji-bo WEI, et al. Space alternating generalized maximum-likelihood based low-complexity list detection algorithm[J]. Journal of communications, 2016, 37(4): 192-198. DOI: 10.11959/j.issn.1000-436x.2016086.
针对V-BLAST系统,提出了一种低复杂度的空间交替广义最大似然(SAGL)列表检测算法。该算法的子检测器由简化最大似然(SML)检测器和连续干扰抵消(SIC)检测器组成。传统 SIC 算法每次只能对单一符号进行检测,而所提算法则利用相邻符号进行联合滑动检测,可以获得更高的分集增益。此外,所提SAGL算法对检测结果进行迭代修正来进一步提升检测性能。分析与仿真结果表明,与传统列表检测算法相比,所提SAGL列表检测算法以少许复杂度的增加为代价显著提升了检测性能。
A space-alternating generalized maximum-likelihood (SAGL) list detection algorithm with lower-complexity for V-BLAST systems was proposed. The sub-detector involved in the proposed list detection algor hm consisted of sim-plified maximum-likelihood (SML) detectors and successive interference cancel ation (SIC) detectors. The proposed al-gorithm could utilize adjacent symbols to realize joint-sliding detection to achieve higher diversity gain
wh le the tradi-tional SIC algorithm was only able to detect a single symbol each time. Moreover
the proposed SAGL algorithm could further iteratively improve the detection results. Ana is and simulation results present the corresponding enhanced per-formance at the cost of slightly increased complexity
compared with the traditional list detection algorithm.
TSE D , VISWANATH P . Fundamentals of wireless communication [M ] . Cambridge University Press , 2005 .
BARBERO L G , THOMPSON J S . Performance analysis of a fixed complexity sphere decoder in high dimensional MIMO systems [C ] // Proc IEEE ICASSP '06.Toulouse , France , c 2006 : Ⅳ .
KIM H , PARK J , LEE H , et al . Near-ML MIMO detection algorithm with LR-aided fixed-complexity tree searching [J ] . IEEE Communications Letts , 2014 , 18 ( 12 ): 2221 - 2224 .
SENNING C , BRUDERER L , HUNZIKER J , et al . A lattice reduction aided MIMO channel equalizer in 90 nm CMOS achieving 720 Mbit/s [J ] . IEEE Translations on Circuits and Systems—I: Regular Papers , 2014 , 61 ( 6 ): 1 - 12 .
CHEN C , SHEEN W . A new lattice reduction algorithm for LR-aided MIMO linear detection [J ] . IEEE Translations on Wireless communications , 2011 , 10 ( 8 ): 2417 - 2422 .
ZHAO K , DU S . Full-diversity approximated lattice reduction algorithm for low complexity MIMO detection [J ] . IEEE Communications Letts , 2014 , 18 ( 6 ): 1079 - 1082 .
XIE Y , LI Q , GEORGHIADES C N . On some near optimal low complexity detectors for MIMO fading channels [J ] . IEEE Translations on Wireless Communications , 2007 , 6 ( 4 ): 1182 - 1186 .
FESSLER J A , HERO A O . Space-alternating generalized expectation-maximization algorithm [J ] . IEEE Translations on Signal Processing , 1994 , 42 ( 10 ): 2664 - 2677 .
KIM K J , ILTIS R A . Joint detection and channel estimation algorithms for QS-CDMA signals over time-varying channel [J ] . IEEE Translations on Communication , 2002 , 50 : 845 - 855 .
KAWAI H , HIGUICHI K , MAEDA N , et al . Likelihood function for QRM-MLD suitable for soft decision Turbo decoding and its performance for OFCDM MIMO multiplexing in multipath fading channel [J ] . IEICE Translations on Communication , 2005 , 88 ( 1 ): 47 - 57 .
ZHANG W , MA X , SWAMI A . Designing low-complexity detectors based on Seysen's algorithm [J ] . IEEE Translations on Wireless Com-munication , 2010 , 9 ( 10 ): 3301 - 3311 .
ZU K , DE LAMARE R . Low-complexity lattice-reduction-aided regularized block diagonalization for MU-MIMO systems [J ] . IEEE Communications Letts , 2012 , 16 ( 6 ): 925 - 928 .
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