PARAFAC-based channel estimation and data recovery in nonlinear MIMO spread spectrum communication systems

被引：10
|
作者：
Fernandes, Carlos A. R.
Favier, Gerard [1 ]
Mota, Joao C. M. [2 ]
机构：
[1] Univ Nice Sophia Antipolis, I3S Lab, CNRS, F-06903 Sophia Antipolis, France
[2] Univ Fed Ceara, Dept Engn Teleinformat, BR-60755640 Fortaleza, Ceara, Brazil
来源：
SIGNAL PROCESSING | 2011年 / 91卷 / 02期
关键词：
PARAFAC decomposition; Channel estimation; Data recovery; MIMO Volterra; Nonlinear channel; Direct sequence spread spectrum; Radio over fiber; TENSOR DECOMPOSITION; BLIND IDENTIFICATION; VOLTERRA; EQUALIZATION; PERFORMANCE; ALGORITHMS; RECEIVERS;
D O I：
10.1016/j.sigpro.2010.07.010
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, a new tensorial modeling is first proposed for nonlinear multiple-input multiple-output (MIMO) direct sequence spread spectrum communication systems. The channel is modeled as an instantaneous MIMO Volterra system. Then, a direct data approach for joint blind channel estimation and data recovery is developed using the parallel factor (PARAFAC) decomposition of a third-order tensor composed of received signals, exploiting space, time and code diversities. A blind channel estimation method based on the PARAFAC decomposition of a fifth-order tensor composed of covariances of the received signals is also proposed, considering phase shift keying (PSK) modulated transmitted signals. The proposed estimation algorithms are evaluated by simulating a nonlinear uplink MIMO radio over fiber (ROF) communication system. (C) 2010 Elsevier B.V. All rights reserved.
引用
收藏
页码：311 / 322
页数：12
相关论文
共 50 条
  • [1] A PARAFAC-based channel estimation method for MIMO relay systems
    Du, Jianhe
    Yuan, Chaowei
    Zhang, Jinbo
    Sichuan Daxue Xuebao (Gongcheng Kexue Ban)/Journal of Sichuan University (Engineering Science Edition), 2014, 46 (04): : 120 - 125
  • [2] A Parafac-based Blind Channel Estimation and Symbol Detection Scheme for Massive MIMO Systems
    Zhao, Lingxiao
    Li, Shuangzhi
    Zhang, Jiankang
    Mu, Xiaomin
    2018 INTERNATIONAL CONFERENCE ON CYBER-ENABLED DISTRIBUTED COMPUTING AND KNOWLEDGE DISCOVERY (CYBERC 2018), 2018, : 350 - 353
  • [3] Low complexity PARAFAC-based channel estimation for non-regenerative MIMO relay systems
    Du, Jianhe
    Yuan, Chaowei
    Zhang, Jinbo
    IET COMMUNICATIONS, 2014, 8 (12) : 2193 - 2199
  • [4] PARAFAC-based blind estimation of possibly underdetermined convolutive MIMO systems
    Yu, Yuanning
    Petropulu, Athina P.
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2008, 56 (01) : 111 - 124
  • [5] PARAFAC-Based Channel Estimation for Intelligent Reflective Surface Assisted MIMO System
    de Araujo, Gilderlan T.
    de Almeida, Andre L. F.
    2020 IEEE 11TH SENSOR ARRAY AND MULTICHANNEL SIGNAL PROCESSING WORKSHOP (SAM), 2020,
  • [6] A PARAFAC-based Channel Estimation Algorithm for Multi-user MIMO Two-way Relay Systems
    Ye, Siyu
    Du, Jianhe
    Deng, Ruyi
    Chang, Rui
    PROCEEDINGS OF 2017 2ND INTERNATIONAL CONFERENCE ON COMMUNICATION AND INFORMATION SYSTEMS (ICCIS 2017), 2015, : 16 - 19
  • [7] PARAFAC-Based Multiuser Channel Parameter Estimation for MmWave Massive MIMO Systems over Frequency Selective Fading Channels
    Chang, Rui
    Yuan, Chaowei
    Du, Jianhe
    ELECTRONICS, 2021, 10 (23)
  • [8] Blind channel estimation and data recovery in DS spread spectrum systems
    Al-Sanie, AM
    ALshebeili, SA
    SIGNAL PROCESSING, 2001, 81 (08) : 1705 - 1714
  • [9] Blind channel estimation and data recovery in DS spread spectrum systems
    Al-Sanie, AM
    ALshebeili, SA
    MILCOM 2000: 21ST CENTURY MILITARY COMMUNICATIONS CONFERENCE PROCEEDINGS, VOLS 1 AND 2: ARCHITECTURES & TECHNOLOGIES FOR INFORMATION SUPERIORITY, 2000, : 154 - 158
  • [10] Accelerated PARAFAC-Based Channel Estimation for Reconfigurable Intelligent Surface-Assisted MISO Systems
    Xiao, Haoqi
    Deng, Honggui
    Guo, Aimin
    Qian, Yuyan
    Peng, Chengzuo
    Zhang, Yinhao
    SENSORS, 2022, 22 (19)
12345