Robust Joint Synchronization and Channel Estimation Approach for Frequency-Selective Environments

被引:12
作者
Lopes, Bruno [1 ]
Catarino, Silvia [1 ]
Souto, Nuno M. B. [1 ,3 ]
Dinis, Rui [2 ,3 ]
Cercas, Francisco [1 ,3 ]
机构
[1] Univ Inst Lisbon, ISCTE, P-1649026 Lisbon, Portugal
[2] UNL, FCT, P-2829516 Caparica, Portugal
[3] Inst Telecomunicacoes, P-1049001 Lisbon, Portugal
来源
IEEE ACCESS | 2018年 / 6卷
关键词
Channel estimation; time synchronization; compressive sensing; sparse signal recovery; SPARSITY;
D O I
10.1109/ACCESS.2018.2871060
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Supporting spontaneous low-latency machine-type communications requires fast synchronization and channel estimation at the receiver. The problems of synchronizing the received frame and estimating the channel coefficients are often addressed separately with the later one relying on accurate timing acquisition. While these conventional approaches can be adequate in flat fading environments, time dispersive channels can have a negative impact on both tasks and severely degrade the performance of the receiver. To circumvent this large degradation, in this paper, we consider the use of a sparse-based reconstruction approach for joint timing synchronization and channel estimation by formulating the problem in a form that is closely related to compressive sensing framework. Using modified versions of well-known sparse reconstruction techniques, which can take into account the additional signal structure in addition to sparsity, it is shown through numerical simulations that, even with short training sequences, excellent timing synchronization and channel estimation performance can be achieved, both in single user and multiuser scenarios.
引用
收藏
页码:53180 / 53190
页数:11
相关论文
共 20 条
  • [1] [Anonymous], P PLMRC YOK JAP SEP
  • [2] Application of Compressive Sensing to Sparse Channel Estimation
    Berger, Christian R.
    Wang, Zhaohui
    Huang, Jianzhong
    Zhou, Shengli
    [J]. IEEE COMMUNICATIONS MAGAZINE, 2010, 48 (11) : 164 - 174
  • [3] Boyd L., 2004, CONVEX OPTIMIZATION
  • [4] Enhancing Sparsity by Reweighted l1 Minimization
    Candes, Emmanuel J.
    Wakin, Michael B.
    Boyd, Stephen P.
    [J]. JOURNAL OF FOURIER ANALYSIS AND APPLICATIONS, 2008, 14 (5-6) : 877 - 905
  • [5] Atomic decomposition by basis pursuit
    Chen, SSB
    Donoho, DL
    Saunders, MA
    [J]. SIAM JOURNAL ON SCIENTIFIC COMPUTING, 1998, 20 (01) : 33 - 61
  • [6] Compressed Sensing for Wireless Communications: Useful Tips and Tricks
    Choi, Jun Won
    Shim, Byonghyo
    Ding, Yacong
    Rao, Bhaskar
    Kim, Dong In
    [J]. IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, 2017, 19 (03): : 1527 - 1550
  • [8] Toward 5G DenseNets: Architectural Advances for Effective Machine-Type Communications over Femtocells
    Condoluci, Massimo
    Dohler, Mischa
    Araniti, Giuseppe
    Molinaro, Antonella
    Zheng, Kan
    [J]. IEEE COMMUNICATIONS MAGAZINE, 2015, 53 (01) : 134 - 141
  • [9] Compressed sensing
    Donoho, DL
    [J]. IEEE TRANSACTIONS ON INFORMATION THEORY, 2006, 52 (04) : 1289 - 1306
  • [10] Timing and Frequency Synchronization for OFDM Downlink Transmissions Using Zadoff-Chu Sequences
    Gul, Malik Muhammad Usman
    Ma, Xiaoli
    Lee, Sungeun
    [J]. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2015, 14 (03) : 1716 - 1729