Research on Compressed Sensing of KL Domain with Limited Feedback in MIMO-OFDM System

被引:0
|
作者
Fu Hongliang [1 ]
Li Chao [2 ]
机构
[1] Henan Univ Technol, Key Lab Grain Informat Proc & Controlling, Zhengzhou, Peoples R China
[2] Henan Univ Technol, Coll Informat Sci & Engn, Zhengzhou, Peoples R China
关键词
MIMO-OFDM; limited feedback in KL domain; channel state information feedback; orthogonal matching pursuit; PURSUIT;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In order to solve the problem of feedback link overhead in MIMO-OFDM system, and improve the transmission efficiency, a limited feedback method based on KL domain is proposed in this paper. In this method, the state information which is obtained from the channel estimation performed in KL domain sparse at the receiving end. Thereby a small amount of linear measurements are obtained which represents the total channel state information, Then these measurements are fed back to the transmitting end. In the transmitter, the channel state information is reconstructed through orthogonal matching pursuit algorithm. The simulation results show that the proposed limited feedback based on KL (Karhuner-Loeve) domain method can achieve full channel state feedback effect and decreases the overhead in the feedback link.
引用
收藏
页码:151 / 154
页数:4
相关论文
共 50 条
  • [21] Sparse channel estimation for MIMO-OFDM systems using distributed compressed sensing
    Liu Y.
    Mei W.-B.
    Du H.-Q.
    Wingdingsj
    Wang H.-Y.
    Journal of Beijing Institute of Technology (English Edition), 2016, 25 (04): : 540 - 546
  • [22] Structured Turbo Compressed Sensing for Downlink Massive MIMO-OFDM Channel Estimation
    Kuai, Xiaoyan
    Chen, Lei
    Yuan, Xiaojun
    Liu, An
    IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2019, 18 (08) : 3813 - 3826
  • [23] Compressed sensing estimation methods for fast fading channel of MIMO-OFDM systems
    Zhou, Xiao-Ping
    Fang, Yong
    Wang, Min
    Dianbo Kexue Xuebao/Chinese Journal of Radio Science, 2010, 25 (06): : 1109 - 1115
  • [24] Sparse channel estimation for MIMO-OFDM systems using distributed compressed sensing
    刘翼
    梅文博
    杜慧茜
    汪宏宇
    JournalofBeijingInstituteofTechnology, 2016, 25 (04) : 540 - 546
  • [25] Compressed channel sensing estimation for fast fading distributed MIMO-OFDM systems
    Zhou, Xiaoping
    Li, Li
    Wang, Min
    Fang, Yong
    Zhang, Jing
    Dianbo Kexue Xuebao/Chinese Journal of Radio Science, 2013, 28 (01): : 147 - 153
  • [26] Random Multiplexing for an MIMO-OFDM Radar With Compressed Sensing-Based Reconstruction
    Knill, Christina
    Roos, Fabian
    Schweizer, Benedikt
    Schindler, Daniel
    Waldschmidt, Christian
    IEEE MICROWAVE AND WIRELESS COMPONENTS LETTERS, 2019, 29 (04) : 300 - 302
  • [27] Analog Feedback for MIMO-OFDM Systems
    Zhu, Pengcheng
    Wang, Yan
    You, Xiaohu
    Li, Yuanjie
    2013 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC), 2013, : 3046 - 3050
  • [28] Interpolation based unitary precoding for spatial multiplexing MIMO-OFDM with limited feedback
    Choi, Jihoon
    Mondal, Bishwarup
    Heath, Robert W., Jr.
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2006, 54 (12) : 4730 - 4740
  • [29] SINR-BASED ANTENNA COMBINING FOR MULTIUSER MIMO-OFDM WITH LIMITED FEEDBACK
    Lu Min Feng Guangzeng Meng Qingmin (College of Telecommunications and Information Engineering
    Journal of Electronics(China), 2011, 28 (03) : 328 - 333
  • [30] Interpolation based unitary precoding for spatial multiplexing MIMO-OFDM with limited feedback
    Choi, J
    Heath, RW
    GLOBECOM '04: IEEE GLOBAL TELECOMMUNICATIONS CONFERENCE, VOLS 1-6, 2004, : 214 - 218