Low Complexity Signal Detection Based on WL Decomposition for MIMO Systems

被引：0
作者：
Lian, Jing [1 ]
Zhang, Zhenyu [1 ]
Wang, Xiyuan [2 ]
Liu, Xiaofei [1 ]
Dai, Xiaoming [1 ]
机构：
[1] Univ Sci & Technol Beijing, Beijing Engn & Technol Res Ctr Convergence Networ, Inst Adv Network Technol & New Serv, Beijing 100083, Peoples R China
[2] Beijing Informat Sci & Technol Univ, Sch Informat & Commun Engn, Beijing 100101, Peoples R China
来源：
2019 28TH WIRELESS AND OPTICAL COMMUNICATIONS CONFERENCE (WOCC) | 2019年
基金：
中国国家自然科学基金; 北京市自然科学基金;
关键词：
Multiple-input multiple-output (MIMO); WL decomposition (WLD); bit error ratio (BER); complexity;
D O I：
10.1109/wocc.2019.8770538
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
The detection algorithms based on QR decomposition can obtain good detection performance with significant complexity reduction, such as the layered orthogonal lattice detector (LORD). However, it can achieve near-optimal performance in multiple input multiple-output (MEMO) systems with two transmit antennas. In order to make it applicable to high-order MIMO systems, this paper designs a subspace detection algorithm based on WL decomposition (WLD) which alleviate the limitations of the LORD algorithm. Simulation results show that the designed algorithm can outperform the QR decomposition based M-algorithm (QRD-M) while maintaining low complexity.
引用
收藏
页码：365 / 369
页数：5
相关论文
共 12 条
  • [1] Subspace Beamforming for Near-Capacity MIMO Perfomance
    Ariyavisitakul, Sirikiat Lek
    Zheng, Jun
    Ojard, Eric
    Kim, Joonsuk
    [J]. IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2008, 56 (11) : 5729 - 5733
  • [2] Chin WH, 2005, IEEE VTS VEH TECHNOL, P1624
  • [3] Reducing the Complexity of Quasi-Maximum-Likelihood Detectors Through Companding for Coded MIMO Systems
    Dai, Xiaoming
    Zou, Runmin
    An, Jianpin
    Li, Xiangming
    Sun, Shaohui
    Wang, Yingmin
    [J]. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2012, 61 (03) : 1109 - 1123
  • [4] Dardari D, 2016, IEEE INT CONF RFID, P5
  • [5] Complex Lattice Reduction Algorithm for Low-Complexity Full-Diversity MIMO Detection
    Gan, Ying Hung
    Ling, Cong
    Mow, Wai Ho
    [J]. IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2009, 57 (07) : 2701 - 2710
  • [6] Lee J., 2010, P IEEE GLOB TEL C GL, P1
  • [7] Li Y, 2001, 2001 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS, VOLS 1-10, CONFERENCE RECORD, P3077, DOI 10.1109/ICC.2001.937238
  • [8] Lim Hyeongyong, 2014, P 2014 6 INT C COMM, P1
  • [9] Sarieddeen H, 2016, INT CONF ACOUST SPEE, P1001, DOI 10.1109/ICASSP.2016.7471826
  • [10] An improved LLR computation for QRM-MLD in coded MIMO systems
    Shin, Wonjae
    Kim, Hyounkuk
    Son, Mi-hyun
    Park, Hyuncheol
    [J]. 2007 IEEE 66TH VEHICULAR TECHNOLOGY CONFERENCE, VOLS 1-5, 2007, : 447 - +
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