Truncation for low-complexity MIMO signal detection

被引:12
|
作者
Jiang, Wen [1 ]
Li, Ye
Yu, Xingxing
机构
[1] Georgia Inst Technol, Sch Math, Atlanta, GA 30332 USA
[2] Georgia Inst Technol, Sch Elect & Comp Engn, Atlanta, GA 30332 USA
基金
美国国家科学基金会;
关键词
bitruncation; channel truncation; multiple-input multiple-output (MIMO) signal detection; Viterbi algorithm;
D O I
10.1109/TIT.2007.892785
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Joint maximum-likelihood (JML) detector may be used in memoryless multiple-input multiple-output (MIMO) systems to obtain optimal detection performance. However, JML detector performs an exhaustive search and has prohibitively large decoding complexity. To reduce the complexity of MIMO signal detection, minimum mean-square-error (mmse) linear detector (LD), decision-feedback detector (DFD), group detector, and sphere detector (SD) may be used. In this correspondence, we-propose a truncation based detector for low-complexity MIMO signal detection, and give theoretical insight into the design and performance of such a detector. We study bitruncation in detail and present two bitruncation approaches. These approaches have low-complexity, and computer simulation results show that they outperform nunse-LD and mmse-DFD.
引用
收藏
页码:1564 / 1571
页数:8
相关论文
共 50 条
  • [1] Low-Complexity MIMO Signal Detection Employing Multistream Constrained Search
    Kato, Katsuya
    Fukawa, Kazuhiko
    Yamada, Ryota
    Suzuki, Hiroshi
    Suyama, Satoshi
    [J]. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2018, 67 (02) : 1217 - 1230
  • [2] A Low-Complexity Signal Detection Approach in Uplink Massive MIMO Systems
    Liang, Zhuojun
    Ding, Chunhui
    He, Guanghui
    [J]. IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, 2018, E101A (07): : 1115 - 1119
  • [3] Low-complexity signal detection and precoding algorithms for multiuser massive MIMO systems
    Boukharouba, Abdelhak
    Dehemchi, Marwa
    Bouhafer, Asma
    [J]. SN APPLIED SCIENCES, 2021, 3 (02):
  • [4] A comparative study of low-complexity MMSE signal detection for massive MIMO systems
    Zhao, Shufeng
    Shen, Bin
    Hua, Quan
    [J]. KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS, 2018, 12 (04): : 1504 - 1526
  • [5] Low-complexity signal detection and precoding algorithms for multiuser massive MIMO systems
    Abdelhak Boukharouba
    Marwa Dehemchi
    Asma Bouhafer
    [J]. SN Applied Sciences, 2021, 3
  • [6] Low-Complexity Gaussian Detection for MIMO Systems
    Wo, Tianbin
    Hoeher, Peter Adam
    [J]. JOURNAL OF ELECTRICAL AND COMPUTER ENGINEERING, 2010, 2010
  • [7] A low-complexity MIMO subspace detection algorithm
    Mohammad M Mansour
    [J]. EURASIP Journal on Wireless Communications and Networking, 2015
  • [8] A low-complexity MIMO subspace detection algorithm
    Mansour, Mohammad M.
    [J]. EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING, 2015,
  • [9] SD-Based Low-Complexity Signal Detection Algorithm in Massive MIMO Systems
    Jiang, Xiaolin
    Zhang, Lihuan
    [J]. MOBILE NETWORKS & APPLICATIONS, 2023,
  • [10] Low-Complexity Signal Detection Based on Relaxation Iteration Method in Massive MIMO Systems
    GUO Ruohan
    LI Xiaohui
    FU Weihong
    HEI Yongqiang
    [J]. China Communications, 2015, (S1) : 1 - 8